Microsoft’s Mustafa Suleyman highlights AI’s role in advancing medical diagnosis | Hot Newz Today

Microsoft’s AI diagnostic system, MAI-DxO, has demonstrated significant potential in medical diagnosis, according to a recent study published in Science. The system, which coordinates several AI agents that act like a panel of doctors, correctly diagnosed complex medical cases in a simulation more than twice as often as generalist physicians. In a simulation using complex cases from the New England Journal of Medicine, it was correct 83% of the time, while primary care doctors and general internists, working individually with reference materials, were correct 36% of the time.

Mustafa Suleyman, Microsoft AI’s CEO, called the result a step toward ‘medical superintelligence.’ The study’s own data suggests that much of the improvement comes from more powerful underlying AI models, with Microsoft’s orchestration system adding gains on top. Microsoft tested MAI-DxO with models from several companies, including OpenAI, Google, Anthropic, Meta, and DeepSeek, but its best results came with OpenAI’s GPT-5 and GPT-5.5.

Microsoft measured DxO on cost as well as accuracy, meaning the estimated cost of running the AI on each case. On its own with a short, basic prompt, GPT-5 scored 78.9% on complex cases at about $8,400 per case. DxO cut that cost by about $3,000 but raised accuracy by only about four points. With GPT-5.5, a newer model released in April 2026, the results split. On complex cases, DxO increased GPT-5.5’s accuracy score from 72% to nearly 87% at a slightly cheaper cost.

Suleyman, who leads Microsoft’s effort to build its own frontier AI, told TechCrunch that the company is working with the Mayo Clinic to train a foundation model for healthcare, with release planned for next year. He believes this model will enable the company to ‘make really enormous leaps here,’ and says DxO is part of the foundational infrastructure Microsoft is building to see real breakthroughs in healthcare. ‘I really believe that in 2027, we will be on the verge of a coding style breakthrough for medical records,’ Suleyman said. ‘I think we’re going to be able to stream highly accurate predictions about how a medical record might unfold, and obviously that kind of foresight for a clinician is gold dust.’