Significant progress has been made in the application of artificial intelligence in healthcare, but a study reveals the limitations of general AI like ChatGPT in complex medical diagnoses. The research, led by medical educator Amrit Kirpalani from Western University in Ontario, Canada, found that ChatGPT made errors in 76 out of 150 complex medical cases, resulting in an error rate exceeding 50%. The case library used in this study is closer to real medical situations than the US Medical Licensing Examination, containing various complications and diagnostic challenges. The study points out that Ch

Currently, there are significant doubts about the accuracy of AI medical diagnosis, which cannot replace the experience of doctors. Solving the issue of obtaining sufficient medical data is key to improving the accuracy of AI medical diagnosis. Image recognition and new drug development present significant growth opportunities for AI in healthcare. With technological advancements and data accumulation, the accuracy of AI medical diagnosis will gradually improve. AI medical diagnosis is in a growth window period with broad prospects.