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AI Doctor? Microsoft’s New System Beats Real Ones in Tests

Key Takeaways

  • ​Microsoft’s new AI system correctly solved over 80% of complex medical cases, far ahead of doctors working alone, who scored just 20%;
  • The AI acts like a team of doctors, asking questions and suggesting tests before making a diagnosis;
  • The system avoids unnecessary tests and works with major AI models, including OpenAI and Google.

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AI Doctor? Microsoft’s New System Beats Real Ones in Tests

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.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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