Towards generalizable AI in medicine via Generalist–Specialist Collaboration↗ S He, Y Nie, H Wang, S Yang, Y Wang, Z Cai, Z Chen, Y Xu, L Wu, ... · Nature Biomedical Engineering, 1-15, 2026 · 2026
ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding↗ X Wang, X Zhang, SE Kim, A Pal, P Rajpurkar · arXiv preprint arXiv:2604.10916, 2026 · 2026
Opportunistic Cardiovascular Risk Assessment Using Routine Head CT in the Emergency Department↗ X Zhang, JN Acosta, S Dogra, EN Silva, S Basu, HM Krumholz, R Khera, ... · JACC, 2026 · 2026
MedVersa: A Generalist Foundation Model for Diverse Medical Imaging Tasks↗ HY Zhou, JN Acosta, S Adithan, S Datta, EJ Topol, P Rajpurkar · NEJM AI 3 (4), AIoa2500595, 2026 · 2026 · 2 citations
Generalist biological artificial intelligence in modeling the language of life↗ VM Rao, S Zhang, BS Plosky, PD Hsu, B Wang, J Zou, M Zitnik, EJ Topol, ... · Nature Biotechnology, 1-16, 2026 · 2026 · 4 citations
ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding↗ O Banerjee, SE Kim, AN Willauer, JM Kernbach, AR Alomaish, ... · arXiv preprint arXiv:2603.19517, 2026 · 2026 · 1 citations
A clinical environment simulator for dynamic AI evaluation↗ L Luo, SE Kim, X Zhang, JM Kernbach, R Kenia, JN Acosta, ... · Nature medicine, 1-8, 2026 · 2026 · 5 citations
Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy↗ ML Ho, M Zitnik, R Azachi, S Basu, P Rajpurkar, R Sidlow · Health and Technology, 1-12, 2026 · 2026
CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation↗ M Baharoon, T Heintz, S Raissi, M Alabbad, M Alhammad, H AlOmaish, ... · MICCAI 2026 · 2026
The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations↗ TM Kim, L Luo, SE Kim, AK Manrai, E Topol, P Rajpurkar · Proceedings of the 1st Workshop on Linguistic Analysis for Health (HeaLing …, 2026 · 2026 · 1 citations
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?↗ GC Yuan, X Zhang, SE Kim, P Rajpurkar · Proceedings of the 1st Workshop on Linguistic Analysis for Health (HeaLing …, 2026 · 2026 · 2 citations
Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey↗ J Kottlors, AI Iuga, C Bluethgen, K Bressem, JN Kather, L Moy, C Wald, ... · Radiology 318 (2), e250913, 2026 · 2026
Critically Appraising the Wellness Movement: Cost Without Value, A Narrative Review↗ ML Ho, EJ Topol, P Rajpurkar · Journal of General Internal Medicine, 1-9, 2026 · 2026
ED-Explain: Personalized Video Instructions for Patients Discharged from the Emergency Department↗ L Luo, E Chen, X Zhang, JN Acosta, BT Jin, F Gunturkun, C Rose, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 280-293, 2026 · 2026
Evaluation of Large Language Models as Emergency Department Revisit Predictors↗ E Chen, L Luo, F Gunturkun, S Sambara, R Arora, BT Jin, P Rajpurkar, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 130-143, 2026 · 2026
Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints↗ AD Beltran, R Hardy, P Rajpurkar · Medical Imaging with Deep Learning, 2026 · 2026
Beyond the Scanner: A Benchmark for Medical Photograph Understanding↗ O Banerjee, JM Kernbach, SE Kim, AR Alomaish, RAS Alghamdi, ... · Medical Imaging with Deep Learning, 2026 · 2026
Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction↗ R Hardy, AD Beltran, TA Brenner, TM Berzin, P Rajpurkar · Medical Imaging with Deep Learning, 2026 · 2026
Automated Chest X-ray Report Generation Remains Unsolved↗ X Zhang, JN Acosta, X Yang, S Adithan, L Luo, HY Zhou, J Miller, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 236-250, 2026 · 2026 · 4 citations
A Clinician-Guided Framework for Endoscopic AI: Developing PanEndoAtlas and Benchmarking Foundation Models Across the Full GI Spectrum↗ S Johri, L Luo, HY Zhou, T Brenner, S Elamin, ME Geissler, TM Berzin, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 42-56, 2026 · 2026
The Intention-Execution Disconnect in Medical AI: The ReXecution Framework for Evaluating Real-World Clinical Performance↗ O Banerjee, L Bijnens, S Adithan, P Rajpurkar · Biocomputing 2026: Proceedings of the Pacific Symposium, 294-308, 2026 · 2026
3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models↗ S Sambara, SE Kim, X Zhang, L Luo, S Johri, M Baharoon, DH Ro, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 99-113, 2026 · 2026 · 3 citations
ColonCrafter: A Depth Estimation Model for Colonoscopy Videos Using Diffusion Priors↗ R Hardy, TM Berzin, P Rajpurkar · Biocomputing 2026: Proceedings of the Pacific Symposium, 27-41, 2026 · 2026 · 4 citations
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports↗ M Baharoon, L Luo, M Moritz, A Kumar, SE Kim, X Zhang, M Zhu, ... · NEJM AI 2026 · 2026 · 14 citations
Evaluating Contextual Intelligence in Recyclability: A Comprehensive Study of Image-Based Reasoning Systems↗ E Park, A Kumar, P Rajpurkar · arXiv preprint arXiv:2601.00905, 2025 · 2025
International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs↗ E Chen, A Saenz, O Banerjee, H Marklund, X Zhang, S Johri, HY Zhou, ... · NEJM AI 3 (1), AIoa2500522, 2025 · 2025 · 3 citations
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges↗ R Kenia, X Zhang, P Rajpurkar · arXiv preprint arXiv:2512.17838, 2025 · 2025
Human—Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology↗ AS Tejani, P Rajpurkar · American Journal of Roentgenology 225 (6), e2534003, 2025 · 2025 · 1 citations
Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition↗ L Wu, J Zhuang, Y Zhou, S He, J Ma, L Luo, X Wang, X Ni, X Zhong, M Wu, ... · Nature Communications 16 (1), 11053, 2025 · 2025 · 4 citations
Catalyzing Health AI by Fixing Payment Systems↗ N Razavian, P Batchu-Green, V Chowdhry, O Elemento, P Rajpurkar, ... · NEJM AI 2 (12), AIpc2500871, 2025 · 2025 · 3 citations
Coordinating health AI to prevent defensive escalation↗ M Moritz, EJ Topol, P Rajpurkar · The Lancet 406 (10516), 2209, 2025 · 2025 · 1 citations
NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care↗ R Reddy, PJ Pickhardt, A Manrai, RM Summers, D Kim, P Rajpurkar · Nature Biomedical Engineering 9 (11), 1791-1796, 2025 · 2025 · 2 citations
Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment↗ JN Acosta, SJ Adams, JM Kernbach, R Hardy, SE Kim, L Luo, X Zhang, ... · 2025 Second International Conference on Artificial Intelligence for Medicine …, 2025 · 2025
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings↗ M Baharoon, L Luo, M Moritz, A Kumar, SE Kim, X Zhang, M Zhu, ... · Machine Learning for Healthcare Conference, 2025 · 2025 · 2 citations
RadGame: An AI-Powered Platform for Radiology Education↗ M Baharoon, S Raissi, JS Jun, T Heintz, M Alabbad, A Alburkani, SE Kim, ... · ML4H 2025 · 2025 · 2 citations
The Financial, Operational, and Clinical Advantages of Generalist Radiology AI↗ S Dogra, X Zhang, E Silva III, P Rajpurkar · Radiology 316 (3), e242362, 2025 · 2025 · 5 citations
Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification↗ AM Vahdani, M Shariatnia, P Rajpurkar, A Pareek · Knee Surgery, Sports Traumatology, Arthroscopy 33 (9), 3418-3437, 2025 · 2025 · 4 citations
Systems and methods for performing medical tasks using a medical artificial intelligence system↗ P Rajpurkar, HY Zhou · US Patent App. 19/057,629, 2025 · 2025 · 2 citations
Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows↗ P Rajpurkar, EJ Topol · Radiology 316 (1), e250477, 2025 · 2025 · 20 citations
Optimizing AI solutions for population health in primary care↗ S Basu, P Bermudez-Canete, TC Hall, P Rajpurkar · npj Digital Medicine 8 (1), 434, 2025 · 2025 · 2 citations
A perspective for adapting generalist ai to specialized medical ai applications and their challenges↗ Z Wang, H Wang, B Danek, Y Li, C Mack, L Arbuckle, D Biswal, H Poon, ... · npj Digital Medicine 8 (1), 429, 2025 · 2025 · 21 citations
The generative era of medical AI↗ LJ Fahrner, E Chen, E Topol, P Rajpurkar · Cell 188 (14), 3648-3660, 2025 · 2025 · 82 citations
MC-MED, multimodal clinical monitoring in the emergency department↗ A Kansal, E Chen, BT Jin, P Rajpurkar, DA Kim · Scientific Data 12 (1), 1094, 2025 · 2025 · 15 citations
How generative AI voice agents will transform medicine↗ SJ Adams, JN Acosta, P Rajpurkar · npj Digital Medicine 8 (1), 353, 2025 · 2025 · 15 citations
Medframeqa: A multi-image medical vqa benchmark for clinical reasoning↗ S Yu, H Wang, J Wu, L Luo, J Wang, C Xie, P Rajpurkar, C Yang, Y Yang, ... · arXiv preprint arXiv:2505.16964, 2025 · 2025 · 21 citations
Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report↗ S Tripathi, D Alkhulaifat, FX Doo, P Rajpurkar, R McBeth, D Daye, ... · NEJM AI 2 (6), AIp2401106, 2025 · 2025 · 25 citations
Multimodal generative AI for interpreting 3D medical images and videos↗ JO Lee, HY Zhou, TM Berzin, DK Sodickson, P Rajpurkar · npj Digital Medicine 8 (1), 273, 2025 · 2025 · 23 citations
A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration↗ A Moehring, M Kutwal, R Huang, O Banerjee, A Jacobi, C Eber, ... · Scientific Data 12 (1), 739, 2025 · 2025 · 3 citations
ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports↗ X Zhang, JN Acosta, J Miller, O Huang, P Rajpurkar · arXiv preprint arXiv:2505.00228, 2025 · 2025 · 25 citations
Unibiomed: A universal foundation model for grounded biomedical image interpretation↗ L Wu, Y Nie, S He, J Zhuang, L Luo, T Li, Z Xie, D Chen, Y Zhao, ... · arXiv preprint arXiv:2504.21336, 2025 · 2025 · 13 citations
RadRevise: A Benchmark Dataset for Instruction-Based Radiology Report Editing↗ Y Huang, JN Acosta, P Rajpurkar · AAAI Bridge Program on AI for Medicine and Healthcare, 183-194, 2025 · 2025
A large model for non-invasive and personalized management of breast cancer from multiparametric MRI↗ L Luo, M Wu, M Li, Y Xin, Q Wang, V Vardhanabhuti, WCW Chu, Z Li, ... · Nature Communications 16 (1), 3647, 2025 · 2025 · 25 citations
Coordinated AI agents for advancing healthcare↗ M Moritz, E Topol, P Rajpurkar · Nature Biomedical Engineering 9 (4), 432-438, 2025 · 2025 · 74 citations
Multimodal generative AI for medical image interpretation↗ VM Rao, M Hla, M Moor, S Adithan, S Kwak, EJ Topol, P Rajpurkar · Nature 639 (8056), 888-896, 2025 · 2025 · 126 citations
From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets↗ S Elamin, S Johri, P Rajpurkar, E Geisler, TM Berzin · Journal of the Canadian Association of Gastroenterology 8 (Supplement_2 …, 2025 · 2025 · 8 citations
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition↗ L Wu, J Zhuang, Y Zhou, S He, J Ma, L Luo, X Wang, X Ni, X Zhong, M Wu, ... · arXiv preprint arXiv:2502.18519, 2025 · 2025 · 7 citations
A Synthetic Data-Driven Radiology Foundation Model for Pan-tumor Clinical Diagnosis↗ W Lei, H Chen, Z Zhang, L Luo, Q Xiao, Y Gu, P Gao, Y Jiang, C Wang, ... · arXiv preprint arXiv:2502.06171, 2025 · 2025 · 1 citations
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation↗ W Lei, H Chen, Z Zhang, L Luo, Q Xiao, Y Gu, P Gao, Y Jiang, C Wang, ... · arXiv preprint arXiv:2502.06171, 2025 · 2025 · 11 citations
An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training↗ Y Nie, S He, Y Bie, Y Wang, Z Chen, S Yang, Z Cai, H Wang, X Wang, ... · arXiv preprint arXiv:2501.15579, 2025 · 2025 · 6 citations
A clinical certification pathway for generalist medical AI systems↗ P Rajpurkar, EJ Topol · The Lancet 405 (10472), 20, 2025 · 2025 · 24 citations
Rexvqa: A large-scale visual question answering benchmark for generalist chest x-ray understanding↗ A Pal, JO Lee, X Zhang, M Sankarasubbu, S Roh, WJ Kim, M Lee, ... · Biocomputing 2026: Proceedings of the Pacific Symposium, 251-264, 2025 · 2025 · 15 citations
ReXErr-v1: Clinically Meaningful Chest X-Ray Report Errors Derived from MIMIC-CXR↗ V Rao, S Zhang, J Acosta, S Adithan, P Rajpurkar · PhysioNet, 2025 · 2025 · 4 citations
Multimodal clinical monitoring in the emergency department (mc-med)↗ A Kansal, E Chen, T Jin, P Rajpurkar, D Kim · PhysioNet, v1 10, 2025 · 2025 · 14 citations
An evaluation framework for clinical use of large language models in patient interaction tasks↗ S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, LA Barnes, ... · Nature medicine 31 (1), 77-86, 2025 · 2025 · 230 citations
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models↗ A Heiman, X Zhang, E Chen, SE Kim, P Rajpurkar · Proceedings of the Computer Vision and Pattern Recognition Conference, 30787 …, 2025 · 2025 · 11 citations
ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports↗ VM Rao, S Zhang, JN Acosta, S Adithan, P Rajpurkar · Biocomputing 2025: Proceedings of the Pacific Symposium, 70-81, 2025 · 2025 · 13 citations
ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics↗ O Banerjee, A Saenz, K Wu, W Clements, A Zia, D Buensalido, ... · Biocomputing 2025: Proceedings of the Pacific Symposium, 185-198, 2025 · 2025 · 8 citations
ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports↗ R Hardy, SE Kim, DH Ro, P Rajpurkar · arXiv preprint arXiv:2412.15264, 2024 · 2024 · 13 citations
a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions↗ P Rajpurkar, JN Acosta, S Dogra, J Jeong, D Jindal, M Moritz, S Rajpurkar · arXiv preprint arXiv:2412.12629, 2024 · 2024 · 1 citations
The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports↗ JN Acosta, S Dogra, S Adithan, K Wu, M Moritz, S Kwak, P Rajpurkar · arXiv preprint arXiv:2412.12042, 2024 · 2024 · 18 citations
Reimbursement in the age of generalist radiology artificial intelligence↗ S Dogra, E Silva, P Rajpurkar · NPJ Digital Medicine 7 (1), 350, 2024 · 2024 · 12 citations
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models↗ S Zhang, S Sambara, O Banerjee, J Acosta, LJ Fahrner, P Rajpurkar · Proceedings of Machine Learning for Health (ML4H), 2024 · 2024 · 24 citations
ReXplain: Translating Radiology into Patient-Friendly Video Reports↗ L Luo, J Vairavamurthy, X Zhang, A Kumar, RR Ter-Oganesyan, ... · Proceedings of Machine Learning for Health (ML4H), 2024 · 2024 · 11 citations
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation↗ X Zhang, HY Zhou, X Yang, O Banerjee, JN Acosta, J Miller, O Huang, ... · arXiv preprint arXiv:2411.15122, 2024 · 2024 · 25 citations
Pixels and Pitfalls: Building Robust Artificial Intelligence for Medical Imaging↗ P Rajpurkar, AL Beam, AK Manrai · NEJM AI 1 (10), AIp2400803, 2024 · 2024 · 2 citations
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation↗ JN Acosta, X Zhang, S Dogra, HY Zhou, S Payabvash, GJ Falcone, ... · arXiv preprint arXiv:2409.13038, 2024 · 2024 · 3 citations
Generating Synthetic Data for Medical Imaging↗ LR Koetzier, J Wu, D Mastrodicasa, A Lutz, M Chung, WA Koszek, ... · Radiology 312 (3), e232471, 2024 · 2024 · 131 citations
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs↗ X Zhang, JN Acosta, HY Zhou, P Rajpurkar · arXiv preprint arXiv:2408.14397, 2024 · 2024 · 9 citations
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting↗ AC Asiimwe, D Surís, P Rajpurkar, C Vondrick · Proceedings of the 9th Machine Learning for Healthcare Conference 252, 2024 · 2024
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation↗ O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar · Proceedings of the 9th Machine Learning for Healthcare Conference 252, 2024 · 2024 · 15 citations
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores↗ A Huang, O Banerjee, K Wu, EP Reis, P Rajpurkar · Proceedings of the 9th Machine Learning for Healthcare Conference 252, 2024 · 2024 · 26 citations
A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI↗ L Luo, M Wu, M Li, Y Xin, Q Wang, V Vardhanabhuti, WCW Chu, Z Li, ... · arXiv preprint arXiv:2408.12606, 2024 · 2024 · 12 citations
ReXPref-Prior: A MIMIC-CXR Preference Dataset for Reducing Hallucinated Prior Exams in Radiology Report Generation↗ O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar · 2024
RadGraph2: Tracking Findings Over Time in Radiology Reports↗ A Dejl, S Khanna, PT Pile, K Yoon, SQH Truong, H Duong, A Saenz, ... · Physionet, 2024 · 2024
Implications of race adjustment in lung-function equations↗ JA Diao, Y He, R Khazanchi, MJN Tiako, JI Witonsky, E Pierson, ... · The New England journal of medicine 390 (22), 2083, 2024 · 2024 · 121 citations
MedVersa: A Generalist Foundation Model for Medical Image Interpretation↗ HY Zhou, JN Acosta, S Adithan, S Datta, EJ Topol, P Rajpurkar · arXiv preprint arXiv:2405.07988, 2024 · 2024 · 29 citations
Comparative Advantage of Humans versus AI in the Long Tail↗ N Agarwal, R Huang, A Moehring, P Rajpurkar, T Salz, F Yu · AEA Papers and Proceedings 114, 618-622, 2024 · 2024 · 12 citations
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review↗ R Han, JN Acosta, Z Shakeri, JPA Ioannidis, EJ Topol, P Rajpurkar · The Lancet Digital Health 6 (5), e367-e373, 2024 · 2024 · 344 citations
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration↗ S He, Y Nie, H Wang, S Yang, Y Wang, Z Cai, Z Chen, Y Xu, L Luo, ... · arXiv preprint arXiv:2404.15127, 2024 · 2024 · 22 citations
Heterogeneity and predictors of the effects of AI assistance on radiologists↗ F Yu, A Moehring, O Banerjee, T Salz, N Agarwal, P Rajpurkar · Nature Medicine 30 (3), 837-849, 2024 · 2024 · 209 citations
CRAFT-MD: A Conversational Evaluation Framework for Comprehensive Assessment of Clinical LLMs↗ S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ... · AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 · 2024 · 21 citations
Adapting Segment Anything Models to Medical Imaging via Fine-Tuning without Domain Pretraining↗ K Li, P Rajpurkar · AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 · 2024 · 22 citations
Video pretraining advances 3D deep learning on chest CT tasks↗ A Ke, SC Huang, CP O’Connell, M Klimont, S Yeung, P Rajpurkar · Medical Imaging with Deep Learning, 758-774, 2024 · 2024 · 8 citations
Multimodal image-text matching improves retrieval-based chest x-ray report generation↗ J Jeong, K Tian, A Li, S Hartung, S Adithan, F Behzadi, J Calle, ... · Medical Imaging with Deep Learning, 978-990, 2024 · 2024 · 102 citations
Cell morphological representations of genes enhance prediction of drug targets↗ NS Iyer, DJ Michael, SYG Chi, J Arevalo, SN Chandrasekaran, ... · bioRxiv, 2024.06. 08.598076, 2024 · 2024 · 2 citations
A generalist learner for multifaceted medical image interpretation↗ HY Zhou, S Adithan, JN Acosta, EJ Topol, P Rajpurkar · arXiv preprint arXiv:2405.07988 3 (6), 15, 2024 · 2024 · 50 citations
Calibration and Uncertainty Estimation Challenges in Self-Supervised Chest X-ray Pathology Classification Models↗ J Xu, P Rajpurkar · Medical Imaging with Deep Learning, 2024 · 2024 · 1 citations
Evaluating General Vision-Language Models for Clinical Medicine↗ Y Jiang, JA Omiye, C Zakka, M Moor, H Gui, S Alipour, SS Mousavi, ... · medRxiv, 2024.04. 12.24305744, 2024 · 2024 · 16 citations
The MAIDA initiative: establishing a framework for global medical-imaging data sharing↗ A Saenz, E Chen, H Marklund, P Rajpurkar · The Lancet Digital Health 6 (1), e6-e8, 2024 · 2024 · 32 citations
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction↗ S Khanna, A Dejl, K Yoon, SQH Truong, H Duong, A Saenz, P Rajpurkar · Machine Learning for Healthcare Conference, 381-402, 2023 · 2023 · 22 citations
Med-flamingo: a multimodal medical few-shot learner↗ M Moor, Q Huang, S Wu, M Yasunaga, Y Dalmia, J Leskovec, C Zakka, ... · Machine Learning for Health (ML4H), 353-367, 2023 · 2023 · 699 citations
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype↗ V Shankar, X Yang, V Krishna, B Tan, O Silva, R Rojansky, A Ng, ... · Machine Learning for Health (ML4H), 528-558, 2023 · 2023 · 16 citations
Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining↗ S Khanna, D Michael, M Zitnik, P Rajpurkar · Machine Learning for Health (ML4H), 232--243, 2023 · 2023 · 5 citations
Style-aware radiology report generation with radgraph and few-shot prompting↗ B Yan, R Liu, D Kuo, S Adithan, E Reis, S Kwak, V Venugopal, ... · Findings of the Association for Computational Linguistics: EMNLP 2023, 14676 …, 2023 · 2023 · 48 citations
Exploring the Boundaries of GPT-4 in Radiology↗ Q Liu, S Hyland, S Bannur, K Bouzid, D Castro, M Wetscherek, R Tinn, ... · Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 · 2023 · 58 citations
A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring↗ E Chen, S Prakash, V Janapa Reddi, D Kim, P Rajpurkar · Nature Biomedical Engineering, 1-10, 2023 · 2023 · 66 citations
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine↗ E Chen, A Kansal, J Chen, BT Jin, JR Reisler, DA Kim, P Rajpurkar · Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 · 2023 · 31 citations
Multimodal Foundation Models Exploit Text to Make Medical Image Predictions↗ T Buckley, JA Diao, P Rajpurkar, A Rodman, AK Manrai · arXiv e-prints, arXiv: 2311.05591, 2023 · 2023 · 15 citations
Systems and methods for radiology image classification from noisy images↗ S Zhou, AY Ng, P Rajpurkar, M Sabini, C Wang, NM Phu, A Kiani, J Irvin, ... · US Patent 11,798,159, 2023 · 2023 · 3 citations
AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions↗ M Sanchez, K Alford, V Krishna, TM Huynh, CDT Nguyen, MP Lungren, ... · Cell Reports Medicine 4 (10), 2023 · 2023 · 16 citations
Autonomous AI systems in the face of liability, regulations and costs↗ AD Saenz, Z Harned, O Banerjee, MD Abràmoff, P Rajpurkar · npj Digital Medicine 6 (1), 185, 2023 · 2023 · 85 citations
Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning↗ S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ... · medRxiv, 2023.09. 12.23295399, 2023 · 2023 · 10 citations
Evaluating progress in automatic chest x-ray radiology report generation↗ F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ... · Patterns 4 (9), 2023 · 2023 · 262 citations
Augmenting medical image classifiers with synthetic data from latent diffusion models↗ LW Sagers, JA Diao, L Melas-Kyriazi, M Groh, P Rajpurkar, AS Adamson, ... · arXiv preprint arXiv:2308.12453, 2023 · 2023 · 43 citations
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology↗ N Agarwal, A Moehring, P Rajpurkar, T Salz · National Bureau of Economic Research, 2023 · 2023 · 350 citations
AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and …↗ V Krishna, GP Sonpavde, S Gupta, BL Maughan, N Agarwal, M Eckstein, ... · Journal of Clinical Oncology 41 (16_suppl), e16566-e16566, 2023 · 2023
The Current and Future State of AI Interpretation of Medical Images↗ P Rajpurkar, MP Lungren · New England Journal of Medicine 388 (21), 1981-1990, 2023 · 2023 · 517 citations
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models↗ A Mishra, R Mittal, C Jestin, K Tingos, P Rajpurkar · Medical Imaging with Deep Learning, short paper track, 2023 · 2023 · 10 citations
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer↗ V Nimgaonkar, V Krishna, V Krishna, E Tiu, A Joshi, D Vrabac, ... · Cell Reports Medicine 4 (4), 2023 · 2023 · 23 citations
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors↗ K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ... · arXiv preprint arXiv:2304.08486, 2023 · 2023 · 32 citations
Foundation models for generalist medical artificial intelligence↗ M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ... · Nature 616 (7956), 259-265, 2023 · 2023 · 2318 citations
Predicting patient decompensation from continuous physiologic monitoring in the emergency department↗ S Sundrani, J Chen, BT Jin, ZSH Abad, P Rajpurkar, D Kim · npj Digital Medicine 6 (1), 60, 2023 · 2023 · 59 citations
Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2↗ AT Le, M Wu, A Khan, N Phillips, P Rajpurkar, M Garland, K Magid, ... · Frontiers in Microbiology 13, 1059289, 2023 · 2023 · 6 citations
Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC).↗ V Krishna, E Tiu, V Krishna, D Vrabac, K Shah, W Abuzeid, K Smith, ... · Journal of Clinical Oncology 41 (4_suppl), 743-743, 2023 · 2023 · 2 citations
ReFiSco: Report Fix and Score Dataset for Radiology Report Generation↗ K Tian, SJ Hartung, AA Li, J Jeong, F Behzadi, J Calle-Toro, S Adithan, ... · 2023 · 6 citations
Randomized Controlled Trials Evaluating AI in Clinical Practice: A Scoping Evaluation↗ R Han, JN Acosta, Z Shakeri, J Ioannidis, E Topol, P Rajpurkar · medRxiv, 2023.09. 12.23295381, 2023 · 2023
Testing the Limits of Language Models: A Conversational Framework for Medical AI Assessment↗ S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ... · medRxiv, 2023 · 2023 · 13 citations
Radiology report expert evaluation (rexval) dataset↗ F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ... · PhysioNet, 2023 · 2023 · 12 citations
A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw↗ P Marsh, D Radif, P Rajpurkar, Z Wang, E Hariton, S Ribeiro, R Simbulan, ... · Scientific Reports 12 (1), 21119, 2022 · 2022 · 14 citations
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning↗ D Vrabac, A Smit, Y He, AY Ng, AL Beam, P Rajpurkar · International Conference on Medical Imaging with Deep Learning, 1301-1310, 2022 · 2022 · 18 citations
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning↗ E Tiu, E Talius, P Patel, CP Langlotz, AY Ng, P Rajpurkar · Nature Biomedical Engineering 6 (12), 1399-1406, 2022 · 2022 · 620 citations
Self-supervised learning in medicine and healthcare↗ R Krishnan, P Rajpurkar, EJ Topol · Nature Biomedical Engineering 6 (12), 1346-1352, 2022 · 2022 · 748 citations
Improving dermatology classifiers across populations using images generated by large diffusion models↗ LW Sagers, JA Diao, M Groh, P Rajpurkar, AS Adamson, AK Manrai · NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 · 2022 · 56 citations
Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors↗ V Ramesh, NA Chi, P Rajpurkar · Machine Learning for Health, 456-473, 2022 · 2022 · 68 citations
Benchmarking saliency methods for chest X-ray interpretation↗ A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ... · Nature Machine Intelligence, 1-12, 2022 · 2022 · 313 citations
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography↗ BT Jin, R Palleti, S Shi, AY Ng, JV Quinn, P Rajpurkar, D Kim · Journal of the American Medical Informatics Association 29 (11), 1908-1918, 2022 · 2022 · 20 citations
Multimodal biomedical AI↗ JN Acosta, GJ Falcone, P Rajpurkar, EJ Topol · Nature Medicine 28 (9), 1773-1784, 2022 · 2022 · 1469 citations
The need for medical artificial intelligence that incorporates prior images↗ JN Acosta, GJ Falcone, P Rajpurkar · Radiology 304 (2), 283-288, 2022 · 2022 · 39 citations
Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.↗ V Krishna, V Nimgaonkar, E Tiu, V Krishna, H Bhambhvani, S Cook, ... · Journal of Clinical Oncology 40 (16_suppl), e16295-e16295, 2022 · 2022 · 2 citations
CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department↗ JA Irvin, A Pareek, J Long, P Rajpurkar, DKM Eng, N Khandwala, ... · Journal of thoracic imaging 37 (3), 162-167, 2022 · 2022 · 22 citations
Machine learning analysis for metabolomics classification and biomarker discovery↗ C Hogan, P Rajpurkar, BA Pinsky, AT Le · US Patent App. 17/475,271, 2022 · 2022 · 2 citations
Contrastive learning of heart and lung sounds for label-efficient diagnosis↗ PN Soni, S Shi, PR Sriram, AY Ng, P Rajpurkar · Patterns 3 (1), 2022 · 2022 · 42 citations
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia↗ J Braatz, P Rajpurkar, S Zhang, AY Ng, J Shen · arXiv preprint arXiv:2201.01449, 2022 · 2022 · 11 citations
Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2↗ AT Le, M Wu, A Khan, N Phillips, P Rajpurkar, M Garland, K Magid, ... · Frontiers in Microbiology 13, 2022 · 2022
Self-Supervised Pretraining Enables High-Performance Chest X-Ray Interpretation Across Clinical Distributions↗ NS Iyer, A Gulati, O Banerjee, C Logé, M Farhat, A Saenz, P Rajpurkar · medRxiv, 2022.11. 19.22282519, 2022 · 2022 · 6 citations
AI in health and medicine↗ P Rajpurkar, E Chen, O Banerjee, EJ Topol · Nature Medicine 28 (1), 31-38, 2022 · 2022 · 3610 citations
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model↗ M Endo, R Krishnan, V Krishna, AY Ng, P Rajpurkar · Machine Learning for Health, 209-219, 2021 · 2021 · 171 citations
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations↗ B Gopal, R Han, G Raghupathi, A Ng, G Tison, P Rajpurkar · Machine Learning for Health, 156-167, 2021 · 2021 · 96 citations
A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes↗ E Hariton, EA Chi, G Chi, JR Morris, J Braatz, P Rajpurkar, M Rosen · Fertility and Sterility 116 (5), 1227-1235, 2021 · 2021 · 85 citations
Chexbreak: Misclassification identification for deep learning models interpreting chest x-rays↗ E Chen, A Kim, R Krishnan, J Long, AY Ng, P Rajpurkar · Machine Learning for Healthcare Conference, 103-125, 2021 · 2021 · 5 citations
Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation↗ YNT Vu, R Wang, N Balachandar, C Liu, AY Ng, P Rajpurkar · Machine Learning for Healthcare Conference, 755-769, 2021 · 2021 · 127 citations
GloFlow: Whole slide image stitching from video using optical flow and global image alignment↗ V Krishna, A Joshi, D Vrabac, P Bulterys, E Yang, S Fernandez-Pol, ... · International Conference on Medical Image Computing and Computer-Assisted …, 2021 · 2021 · 6 citations
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza↗ CA Hogan, P Rajpurkar, H Sowrirajan, NA Phillips, AT Le, M Wu, ... · EBioMedicine 71, 2021 · 2021 · 36 citations
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays↗ S Shi, I Malhi, K Tran, AY Ng, P Rajpurkar · Medical Imaging with Deep Learning, 699-712, 2021 · 2021 · 6 citations
Moco pretraining improves representation and transferability of chest x-ray models↗ H Sowrirajan, J Yang, AY Ng, P Rajpurkar · Medical Imaging with Deep Learning, 728-744, 2021 · 2021 · 304 citations
Chexseg: Combining expert annotations with dnn-generated saliency maps for x-ray segmentation↗ SU Gadgil, M Endo, E Wen, AY Ng, P Rajpurkar · Medical Imaging with Deep Learning, 190-204, 2021 · 2021 · 16 citations
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management↗ C Logé, E Ross, DYA Dadey, S Jain, A Saporta, AY Ng, P Rajpurkar · Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 · 2021 · 31 citations
Development and validation of an artificial intelligence system to optimize clinician review of patient records↗ EA Chi, G Chi, CT Tsui, Y Jiang, K Jarr, CV Kulkarni, M Zhang, J Long, ... · JAMA network open 4 (7), e2117391-e2117391, 2021 · 2021 · 71 citations
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports↗ S Jain, A Agrawal, A Saporta, SQH Truong, DN Duong, T Bui, P Chambon, ... · Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 · 2021 · 493 citations
Deep Learning for Medical Image Interpretation↗ P Rajpurkar · Stanford University, 2021 · 2021 · 6 citations
Improving Hospital Readmission Prediction using Individualized Utility Analysis↗ M Ko, E Chen, A Agrawal, P Rajpurkar, A Avati, A Ng, S Basu, NH Shah · Journal of Biomedical Informatics, 103826, 2021 · 2021 · 19 citations
Automated coronary calcium scoring using deep learning with multicenter external validation↗ D Eng, C Chute, N Khandwala, P Rajpurkar, J Long, S Shleifer, ... · NPJ digital medicine 4 (1), 88, 2021 · 2021 · 201 citations
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set↗ D Vrabac, A Smit, R Rojansky, Y Natkunam, RH Advani, AY Ng, ... · Scientific Data 8 (1), 1-8, 2021 · 2021 · 41 citations
Structured dataset documentation: a datasheet for CheXpert↗ C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques · arXiv preprint arXiv:2105.03020, 2021 · 2021 · 36 citations
DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS↗ EA Chi, G Chi, CT Tsui, Y Jiang, K Jarr, C Kulkarni, M Zhang, J Long, ... · Gastroenterology 160 (6), S-64-S-65, 2021 · 2021
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation↗ S Jain, A Smit, AY Ng, P Rajpurkar · NeurIPS Data-Centric AI Workshop, 2021 · 2021 · 10 citations
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels↗ S Jain, A Smit, SQH Truong, CDT Nguyen, MT Huynh, M Jain, VA Young, ... · ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021, 2021 · 2021 · 47 citations
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings↗ P Rajpurkar, A Joshi, A Pareek, AY Ng, MP Lungren · ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021, 2021 · 2021 · 22 citations
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation↗ A Ke, W Ellsworth, O Banerjee, AY Ng, P Rajpurkar · ACM Conference on Health, Inference, and Learning (ACM-CHIL) 2021, 2021 · 2021 · 174 citations
Deep learning saliency maps do not accurately highlight diagnostically relevant regions for medical image interpretation↗ A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ... · 2021 · 49 citations
CheXphoto: 10,000+ photos and transformations of chest X-rays for benchmarking deep learning robustness↗ NA Phillips, P Rajpurkar, M Sabini, R Krishnan, S Zhou, A Pareek, ... · Machine Learning for Health, 318-327, 2020 · 2020 · 37 citations
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays↗ P Rajpurkar, A Joshi, A Pareek, J Irvin, AY Ng, M Lungren · Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract, 2020 · 2020 · 2 citations
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video↗ V Krishna, A Joshi, PL Bulterys, E Yang, AY Ng, P Rajpurkar · Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract, 2020 · 2020 · 1 citations
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV↗ P Rajpurkar, C O’Connell, A Schechter, N Asnani, J Li, A Kiani, RL Ball, ... · NPJ digital medicine 3 (1), 115, 2020 · 2020 · 172 citations
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With …↗ P Rajpurkar, J Yang, N Dass, V Vale, AS Keller, J Irvin, Z Taylor, S Basu, ... · JAMA Network Open 3 (6), e206653-e206653, 2020 · 2020 · 105 citations
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments↗ JA Irvin, AA Kondrich, M Ko, P Rajpurkar, B Haghgoo, BE Landon, ... · BMC Public Health 20, 1-10, 2020 · 2020 · 76 citations
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging↗ SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ... · NPJ digital medicine 3 (1), 61, 2020 · 2020 · 222 citations
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT↗ A Smit, S Jain, P Rajpurkar, A Pareek, AY Ng, MP Lungren · Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 · 2020 · 604 citations
AppendiXNet: deep learning for diagnosis of appendicitis from a small dataset of CT exams using video pretraining↗ P Rajpurkar, A Park, J Irvin, C Chute, M Bereket, D Mastrodicasa, ... · Scientific reports 10 (1), 3958, 2020 · 2020 · 141 citations
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting↗ P Rajpurkar, A Joshi, A Pareek, P Chen, A Kiani, J Irvin, AY Ng, ... · ACM Conference on Health, Inference, and Learning (CHIL) Workshop 2020, 2020 · 2020 · 48 citations
Impact of a deep learning assistant on the histopathologic classification of liver cancer↗ A Kiani, B Uyumazturk, P Rajpurkar, A Wang, R Gao, E Jones, Y Yu, ... · NPJ digital medicine 3 (1), 23, 2020 · 2020 · 352 citations
Automated abnormality detection in lower extremity radiographs using deep learning↗ M Varma, M Lu, R Gardner, J Dunnmon, N Khandwala, P Rajpurkar, ... · Nature Machine Intelligence 1 (12), 578-583, 2019 · 2019 · 108 citations
Human–machine partnership with artificial intelligence for chest radiograph diagnosis↗ BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ... · NPJ digital medicine 2 (1), 111, 2019 · 2019 · 290 citations
Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant↗ B Uyumazturk, A Kiani, P Rajpurkar, A Wang, RL Ball, R Gao, Y Yu, ... · Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract, 2019 · 2019 · 18 citations
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison↗ J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ... · Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019 · 2019 · 4452 citations
Deep-Learning Artificial Intelligence Model for Automated Detection of Cervical Spine Fracture on Computed Tomography (CT) Imaging↗ SB Dunsker, M Zhang, L Kim, R Cheong, B Cohen-Wang, K Shpanskaya, ... · JOURNAL OF NEUROSURGERY 131 (1), 2019 · 2019 · 10 citations
AI-Augmented Diagnosis of Brain Aneurysms from CTA: A Retrospective Study↗ R Jabarkheel, A Park, C Chute, P Rajpurkar, J Lou, K Shpanskaya, L Kim, ... · JOURNAL OF NEUROSURGERY 131 (1), 2019 · 2019 · 1 citations
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model↗ A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ... · JAMA Network Open 2 (6), e195600-e195600, 2019 · 2019 · 296 citations
AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES↗ L Chen, N Bien, R Fan, R Cheong, P Rajpurkar, A Thong, N Wang, ... · The Journal of Urology 201 (Supplement 4), e1098-e1098, 2019 · 2019 · 1 citations
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized …↗ T Duan, P Rajpurkar, D Laird, AY Ng, S Basu · Circulation: Cardiovascular Quality and Outcomes 12 (3), e005010, 2019 · 2019 · 61 citations
Machine Vision, Medical AI, and Malpractice↗ Z Harned, MP Lungren, P Rajpurkar · Zach Harned, Matthew P. Lungren & Pranav Rajpurkar, Comment, Machine Vision …, 2019 · 2019 · 32 citations
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network↗ AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ... · Nature medicine 25 (1), 65-69, 2019 · 2019 · 3861 citations
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet↗ N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ... · PLOS Medicine 15 (11), e1002699, 2018 · 2018 · 905 citations
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists↗ P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ... · PLOS Medicine 15 (11), e1002686, 2018 · 2018 · 1814 citations
Know What You Don't Know: Unanswerable Questions for SQuAD↗ P Rajpurkar, R Jia, P Liang · Proceedings of the 55th Annual Meeting of the Association for Computational …, 2018 · 2018 · 4073 citations
Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation↗ S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins · SiiM conference on machine intelligence in medical imaging 392, 2018 · 2018 · 13 citations
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs↗ P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ... · 1st Conference on Medical Imaging with Deep Learning, 2017 · 2017 · 635 citations
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning↗ P Rajpurkar, V Polamreddi, A Balakrishnan · NIPS'15 Workshop on Machine Learning For Health, 2017 · 2017 · 3 citations
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning↗ P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ... · arXiv preprint arXiv:1711.05225, 2017 · 2017 · 5132 citations
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks↗ P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng · arXiv preprint arXiv:1707.01836, 2017 · 2017 · 1351 citations
SQuAD: 100,000+ Questions for Machine Comprehension of Text↗ P Rajpurkar, J Zhang, K Lopyrev, P Liang · Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 · 2016 · 11737 citations
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems↗ E Fast, W McGrath, P Rajpurkar, MS Bernstein · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 · 2016 · 51 citations
Text Mining Emergent Human Behaviors for Interactive Systems↗ E Fast, P Rajpurkar, MS Bernstein · Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 · 2015 · 3 citations
An Empirical Evaluation of Deep Learning on Highway Driving↗ B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ... · arXiv preprint arXiv:1504.01716, 2015 · 2015 · 1046 citations
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving↗ P Rajpurkar, T Migimatsu, J Kiske, S Cheng-Yue, Royce, Tandon, T Wang, ... · ICML'15 Workshop on Crowdsourcing, 2015 · 2015 · 6 citations
A Supervised Approach To Musical Chord Recognition↗ P Rajpurkar, B Girardeau, T Migimatsu · Stanford Undergraduate Research Journal '14, 2014 · 2014 · 10 citations