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Microsoft has introduced a new artificial intelligence (AI) system, which it claims can outperform doctors when diagnosing complex medical cases.
The technology, built by a team led by British computer scientist Mustafa Suleyman, is designed to act like a group of experienced physicians working together to figure out difficult health problems, according to The Guardian's report on June 30.
Microsoft used over 300 real case reports from the New England Journal of Medicine. These were turned into interactive scenarios that the AI had to solve. When used alongside OpenAI’s o3 model, the system came up with correct answers in more than 80% of the cases.
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For comparison, doctors working alone, without books, colleagues, or online help, solved only 20% of the same cases correctly.
The AI does not simply guess or rely on stored answers. Instead, it asks follow-up questions and suggests tests, much like a real doctor would. For example, if a patient had a cough and fever, the system might suggest a blood test and an X-ray before giving a final diagnosis like pneumonia.
Microsoft also said that this AI model can help reduce costs by avoiding unnecessary tests. It is more efficient in choosing the right tests, which could lead to savings in healthcare.
The AI system uses a "diagnostic orchestrator", which works with existing AI models, including ones from OpenAI, Meta, Google, Anthropic, and others. It decides which questions to ask, which tests to suggest, and what the likely diagnosis might be.
On June 26, Google released a new AI-powered test app called Doppl. How does it work? Read the full story.
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