Challenge: Bridging the Gap in Radiology Communication

Patient-centered radiology prioritizes patients’ needs and preferences, encouraging radiologist-patient interaction. Both patients and radiologists have shown a strong desire to provide patients’ own radiology reports and images to themselves. However, complex medical terminology often creates barriers to patient comprehension, potentially leading to misunderstandings and increased anxiety. Various approaches have been attempted to enhance patient understanding, including structured reports, additional explanations, increased radiologist-patient interactions, or hand-crafted video reports. However, these methods often require additional effort from already overburdened radiologists.

Solution: Harnessing AI for Patient-Centered Radiology

Recent breakthroughs in artificial intelligence (AI) have opened up exciting new possibilities for revolutionizing patient-centered radiology. By leveraging cutting-edge AI technologies, we can now offer innovative solutions that enhance patient understanding without increasing the workload of radiologists.

The key AI technologies driving innovation in this field include Large Language Models (LLMs), which have demonstrated remarkable capabilities in translating complex medical jargon into easily understandable language, significantly improving patient engagement with radiology reports. Additionally, advanced image segmentation algorithms can now accurately identify and highlight regions of interest within medical images, drawing patients' attention to critical findings. Furthermore, avatar generation technology allows for the creation of photorealistic virtual "radiologist" avatars to deliver personalized explanations, simulating the experience of a one-on-one consultation.

ReXplain: Translating Radiology into Patient-Friendly Video Reports

ReXplain seamlessly integrates intelligent report simplification, accurate radiology image segmentation, and a lifelike virtual radiologist avatar to deliver customizable, multimodal explanations of medical imaging results. By transforming complex reports into accessible language and visually engaging presentations, ReXplain aims to enhance patient understanding and satisfaction. Currently under evaluation by practicing radiologists, this innovative system has the potential to significantly improve health outcomes and strengthen doctor-patient relationships in the field of radiology.