This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

One of the many challenging parts of being a doctor is diagnosing exactly what is wrong with a patient. This is because numerous illnesses often have overlapping symptoms, which can make the diagnostic journey a long one.

In addition to asking patients questions, doctors may need to order tests and consult medical references or even other professionals. Obviously, for the individual patient, the sooner a diagnosis is reached, the sooner they can start receiving the most appropriate treatment.

Now, in yet another breakthrough for AI, Microsoft researchers claim they have developed a tool that can outperform individual generalist physicians in diagnosing complex medical cases.

It is called DxO, which stands for Diagnostic Orchestrator, and simulates a panel of clinical experts who collaborate to reach a diagnosis.

To see how well DxO performs and how it compares with medical professionals, researchers developed a testing framework called SDBench, which was essentially an interactive quiz.

The team took 304 published diagnostic cases from the New England Journal of Medicine and 325 emergency department admission records. They turned each of these patient files into a step-by-step test.

At the start of each test, a doctor or DxO was given a summary called a clinical vignette. This included basic details like the patient's age and sex and their main symptoms.

For example, one case started with: "A 29-year-old woman was admitted to the hospital because of sore throat and peritonsillar swelling and bleeding.

Source link