Microsoft Claims Its AI Diagnostician Outperforms Doctors in Complex Cases

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Microsoft has unveiled its new AI-powered tool, the Medical AI Diagnostic Orchestrator (MAI-DxO), which the company says can diagnose complex medical cases much more accurately than human doctors. In a study using 304 challenging medical cases from the New England Journal of Medicine, the AI achieved an impressive 85.5% accuracy rate, while a group of 21 experienced doctors from the US and UK managed about 20% accuracy.

The system works by simulating the way real doctors approach diagnosis—asking follow-up questions, suggesting tests, and narrowing down possible conditions step by step. Unlike other single-model AI tools, MAI-DxO coordinates multiple advanced AI models, including OpenAI’s, Anthropic’s Claude, Google’s Gemini, and Meta’s Llama, functioning like a virtual panel of specialists.

Additionally, it plans diagnostic tests with cost-effectiveness in mind, resulting in an estimated 20–70% cost saving compared to standard approaches. Despite these promising results, the technology is still in its research phase and is not yet approved for real-world use. Microsoft aims to test it further through clinical trials and regulatory checks before any practical deployment.

The tech giant views this development as a move toward a future “medical superintelligence” that will work alongside human doctors—helping them diagnose patients more accurately and efficiently, rather than replacing them altogether.

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Microsoft Claims Its AI Diagnostician Outperforms Doctors in Complex Cases

Microsoft has unveiled its new AI-powered tool, the Medical AI Diagnostic Orchestrator (MAI-DxO), which the company says can diagnose complex medical cases much more accurately than human doctors. In a study using 304 challenging medical cases from the New England Journal of Medicine, the AI achieved an impressive 85.5% accuracy rate, while a group of 21 experienced doctors from the US and UK managed about 20% accuracy.

The system works by simulating the way real doctors approach diagnosis—asking follow-up questions, suggesting tests, and narrowing down possible conditions step by step. Unlike other single-model AI tools, MAI-DxO coordinates multiple advanced AI models, including OpenAI’s, Anthropic’s Claude, Google’s Gemini, and Meta’s Llama, functioning like a virtual panel of specialists.

Additionally, it plans diagnostic tests with cost-effectiveness in mind, resulting in an estimated 20–70% cost saving compared to standard approaches. Despite these promising results, the technology is still in its research phase and is not yet approved for real-world use. Microsoft aims to test it further through clinical trials and regulatory checks before any practical deployment.

The tech giant views this development as a move toward a future “medical superintelligence” that will work alongside human doctors—helping them diagnose patients more accurately and efficiently, rather than replacing them altogether.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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