Microsoft has revealed details of an artificial intelligence system that performs better than human doctors at complex health diagnoses, creating a "path to medical superintelligence". The company's AI unit, which is led by the British tech pioneer Mustafa Suleyman, has developed a system that imitates a panel of expert physicians tackling "diagnostically complex and intellectually demanding" cases. Microsoft said that when paired with OpenAI's advanced o3 AI model, its approach "solved" more than eight of 10 case studies specially chosen for the diagnostic challenge. When those case studies were tried on practising physicians – who had no access to colleagues, textbooks or chatbots – the accuracy rate was two out of 10. Microsoft said it was also a cheaper option than using human doctors because it was more efficient at ordering tests.

CHS developed RadixML to help those struggling with a multitude of symptoms and chronic health problems. RadixML uses a combination of medical expertise and machine learning algorithms to generate a report that predicts the most likely root causes of each individual's health issues. It is only by sorting out and managing these root causes that health conditions can be dramatically improved and eventually reversed. The RadixML analysis evaluates a long list of potential causes and contributors, including hormone imbalances, mineral deficiencies, chronic infections, toxins, and others. The RadixML report makes the process of improving one's health dramatically more efficient, saving significant amounts of time, money, and frustration.