Home » Technology » Artificial intelligence moves that will break down in medicine: It makes better diagnosis than doctors – Breaking World News

Artificial intelligence moves that will break down in medicine: It makes better diagnosis than doctors – Breaking World News

Microsoft’s AI Aces Complex Medical Cases

Microsoft has unveiled a new artificial intelligence system designed to assist doctors with the most challenging medical diagnoses. This innovative AI, called MAI-DXO, is demonstrating remarkable accuracy in identifying difficult cases, potentially revolutionizing healthcare.

Unprecedented Accuracy in Diagnosis

Microsoft‘s MAI-DXO has achieved impressive results in diagnosing intricate medical issues. Tests involving complex cases from the New England Journal of Medicine (Nejm) magazine showed that the system correctly identified 85 percent of the cases. This surpasses the accuracy of many experienced physicians.

The system employs a “consecutive diagnosis” method, mirroring how doctors approach patient care. It asks questions about symptoms, suggests necessary tests, and assesses their costs. This approach minimizes unnecessary procedures and reduces patient discomfort.

AI’s Diagnostic Process

MAI-DXO combines several advanced language models, including GPT, LLAM, Claude, Gemini, Gokini, Deepseek, and OpenAI‘s O3 model. It then generates diagnoses, acting like a virtual medical board. Test results have shown that the system provides more precise and cost-effective results than doctors and individual models alone.

“MAI-DXO is designed to support them, not to replace doctors,” Microsoft stated. “The company thinks that the system can help doctors especially in complex cases and contribute to the reduction of high health expenditures.”

Microsoft, Company Statement

The market for AI in healthcare is projected to reach $61.1 billion by 2027, according to a recent report (MarketWatch 2023), highlighting the rapid expansion of this field.

Future Prospects

Microsoft emphasizes that MAI-DXO is intended to support doctors, not to replace them. The company believes the system can be especially helpful in complex cases, potentially reducing healthcare costs. The practical application of this system in hospitals remains to be seen.

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