Microsoft Develops AI Tool to Diagnose Like Doctors
Researchers at Microsoft report that an AI tool which diagnoses patients in a step-by-step manner, similar to doctors, was over twice as precise as general practitioners in resolving intricate medical cases, according to reports.
The model determines and organizes the inquiries that need to be directed at a patient, along with the examinations and tests that must be requested, utilizing an "orchestrator" that arranges how AI will address a problem by deploying a simulated group of clinical specialists working together to resolve diagnostic scenarios, as stated in the report.
Current medical AI models usually adopt a comprehensive approach that evaluates all of a patient's symptoms, laboratory results, and imaging studies to create a diagnosis.
The orchestrator manages the process of obtaining a diagnosis, while the AI model initially determines which aspects of the patient’s history to inquire about and what findings from the physical examination are relevant.
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Depending on its findings, it determines which tests to conduct, evaluates the outcomes, and requests additional testing as needed.
Throughout the process, the research leader states, it continuously revises its working assumptions and strategies.
Assigned to identify over 300 extremely atypical and perplexing medical cases, the model utilizing the diagnostic orchestrator achieved more than double the accuracy in "evaluating" the patient and establishing the diagnosis compared to general practitioners relying on textbooks and online resources.
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The tool surpassed human doctors when given situations extracted from a large database of emergency room visits.
Researchers indicated that evaluations contrasting these older systems with human physicians typically utilize multiple-choice questions.
"AI has achieved remarkable success in attaining a 100% pass rate on those," stated Dr. Dominic King, the corporate vice president of Microsoft AI's health unit, whose team is working on the new technology.
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"However, that is not representative of reality." "Not a single patient has approached me with a tidy summary."
The researchers discovered that diagnostic processes are more economical when the orchestrator creates the work-ups compared to when human physicians do.