"The summary point is these models are getting even more capable and kind of shockingly fast way. That really begs the question, where are the things that uniquely human needs are, and where are things you could trust a computer for?"
"Doctors often approach a patient with multiple symptoms by generating possible explanations, weighing probabilities and explaining their thinking. AI systems have become pretty good at even answering these complex reasoning questions."
"Humans cannot be cut out of the loop. And trust is a very loaded word. But boy, would it be foolish for me and for other people not to be using these things to help us in diagnosis and medical reasoning."
A study indicates that AI systems excel in complex medical reasoning, outperforming doctors in diagnostic scenarios. The research shows rapid advancements in AI capabilities, prompting questions about the roles of clinicians and technology in healthcare. Jonathan Chan, a Stanford doctor, notes that while AI can handle intricate reasoning, human involvement remains essential. The study emphasizes the complexity of medical decision-making and the potential for AI to assist rather than replace human doctors in clinical settings.
Read at ABC7 San Francisco
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