Microsoft AI Model Outperforms Human Doctors in Medical Diagnosis Benchmark
A study published in Science reveals that Microsoft's sequential AI diagnostic tool achieved 83.2% accuracy, beating general physicians.
Microsoft researchers published a study in the journal Science demonstrating a new artificial intelligence system that diagnoses medical cases sequentially. The tool mimics the step-by-step methodology of human doctors by asking targeted questions, ordering specific tests, and iteratively refining its clinical hypotheses.
The orchestrator layer achieved an outstanding 83.2% accuracy rate when evaluating complex medical cases. In comparison, human generalist physicians with access to reference materials averaged just 36.1% accuracy, marking a major milestone toward achieving highly specialized medical superintelligence.
Original source
techcrunch.com
Related Articles
Block Unveils Dessa, a Voice AI That Talks and Listens at the Same Time
Jack Dorsey's Block built Dessa, a voice model that can speak and listen simultaneously and runs locally on consumer hardware.
Recursive Launches Flint, a Free Coding Model That Runs on a Laptop
AI startup Recursive released Flint, a free coding model small enough to run locally — and says AI did most of the work building it.
Anthropic Launches Claude Duet, a Personal AI Agent App
Anthropic's new Claude Duet app puts an AI agent to work on your behalf — with required approval for sensitive actions like payments.