A groundbreaking artificial intelligence move in medicine: It diagnoses better than doctors

Select Language

English

Down Icon

Select Country

Turkey

Down Icon

A groundbreaking artificial intelligence move in medicine: It diagnoses better than doctors

A groundbreaking artificial intelligence move in medicine: It diagnoses better than doctors

As the impact of artificial intelligence in the medical world grows day by day, Microsoft has taken an ambitious step in this field. The company announced that its new medical artificial intelligence system, called Microsoft AI Diagnostic Orchestrator (MAI-DxO), has diagnosed some of the world's most difficult medical cases with great success.

CORRECTLY DIAGNOSED 85 PERCENT OF DIFFICULT CASES

According to a blog post by Microsoft on Monday, MAI-DxO correctly diagnosed 85 percent of 304 complex medical cases in the New England Journal of Medicine (NEJM) in tests. That’s well above the 20 percent average accuracy achieved by experienced doctors. Moreover, NEJM cases are known to be complex cases that require multiple specialties.

HE PROCEEDS THE DIAGNOSIS PROCESS LIKE A DOCTOR

Microsoft emphasizes that MAI-DxO works with the “sequential diagnosis” method like real doctors, instead of just memorizing ready-made answers. The system asks questions based on a patient’s symptoms, requests tests, and calculates their costs. In this way, artificial intelligence decides which tests are truly necessary, reducing both costs and unnecessary patient discomfort. MAI-DxO works together with the most advanced language models such as OpenAI’s o3 model, as well as GPT, Llama, Claude, Gemini, Grok, and DeepSeek. This system produces diagnoses like a virtual board of doctors by bringing together different models. As a result of the tests, it was announced that the system provides more accurate and more cost-effective results than doctors and models used alone.

"TO SUPPORT DOCTORS"

Microsoft says MAI-DxO is designed to support doctors, not replace them. The company believes the system can help doctors, especially with complex cases, and help reduce high healthcare costs. It is not yet known how the system will perform in daily hospital practice.

ntv

ntv

Similar News

All News
Animated ArrowAnimated ArrowAnimated Arrow