I just read this paper about a new agentic system called DeepRare that aims to solve the diagnostic odyssey for the 300 million people suffering from rare diseases. It usually takes over five years to get a correct diagnosis, but this system might change that. The researchers tested the AI against experienced physicians on 163 complex clinical cases. DeepRare actually beat the human doctors, achieving a 64.4% accuracy rate compared to the physicians’ 54.6%. The most interesting part is that it isn’t a black box. The system uses over 40 specialized tools to generate a reasoning chain that links directly to medical evidence. When experts reviewed these reasoning chains, they agreed with the AI’s logic 95.4% of the time. It seems like a massive leap for interpretability in medical AI. submitted by /u/NoParsleyForYou
Originally posted by u/NoParsleyForYou on r/ArtificialInteligence