Trialling state-of-the-art large language models (LLMs) against ophthalmologists at different stages of training sees the strongest LLM match expert consultant and attending ophthalmologists in answering challenging clinical questions.
University of Cambridge press release
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Patients with blindness are eligible for various forms of social support, but require registration with local authorities which is often based on subjective clinical assessment. An automated algorithm for identifying blind glaucoma patients might improve the accessibility and fairness of registration processes and provision of support.
Cambridge University Hospitals press release
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Emerging technology could be used to improve eye health in lower income settings, particularly in regions where access to expertise is the limiting factor in providing safe, effective, and prompt care.
The Chatbot Assessment Reporting Tool (CHART) was developed by a large multinational and multidisciplinary team to improve the standard of research and reporting of studies evaluating health advice provided by chatbots such as ChatGPT, Gemini, Claude, and DeepSeek. CHART was co-published in JAMA Network Open, BJS, BMJ Medicine, Artificial Intelligence in Medicine, BMC Medicine, and Annals of Family Medicine, with an explanation and elaboration report published simultaneously in The BMJ.
Much is made of the medical potential of generative artificial intelligence, but recorded performance is lower in experiments involving non-English questions and answers. This has implications for equity of healthcare provision around the world as technology begins to be deployed in clinical settings.