Two AIs just matched or beat doctors on diagnosis. The catch: none of the patients were real.
Two AI systems have matched, and in places beaten, doctors at diagnosing patients and planning their treatment. Then again, none of the patients were real.
The results, published in Nature this week, are some of the strongest evidence yet that specialist medical AI is closing in on human clinicians. They are also a textbook case of why a striking headline and real-world medicine are not the same thing.
What the studies found
The first system, Mira, was built by academic researchers in Germany.
Given access to a simulated medical record, it can choose from more than 85,000 actions: tests, prescriptions, even hospital admissions. Across more than 500 emergency-department cases, it reached a diagnostic accuracy of about 87 per cent, against 78 per cent for a panel of six doctors. It was strongest on conditions with clear test results, such as pancreatitis and appendicitis.
The second, Amie, is Google’s, and runs...
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