Our paper "Towards autonomous medical artificial intelligence agents" is out in @Nature today! It was led by @Dykex6 who did the real work here.
We present MIRA, an autonomous AI agent that runs end to end through a clinical patient case. We build it on top of LLMs and provide it with scaffolding, tools, and most importantly, a thorough evaluation against human doctors. We show that our agent can solve a clinical case in a multistep process. It takes the history, orders labs and scans, selects medications, decides on procedures, and triages for admission.
For me the most important part is that we can now benchmark humans against AI for the whole decision pathway, not just the end result. Our evaluation shows very good results, almost no severe errors, these AI agents perform just really well on difficult medical cases.
As we move now to implement this in real clinical routine, and run clinical trials about it, we must first fix the infrastructure in our hospitals (and also ensure we still have access to the underlying LLMs...).
Kudos also to our colleagues from Google and Deepmind who published a very similar study back-to-back with us! (https://t.co/mnCsdMCEyE) We are happy that with <<0.01% of Google's R&D budget we can contribute to this space together.
Thanks to all co-authors, our institutions @UniHeidelberg@tudresden_de and also the great @EricTopol for covering us in his newsletter. Congratulations to Dyke and the whole team!
Full text link: https://t.co/eyzKZYYFSs
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