How AI can aid decision making in mass-casualty events

Researcher Omer Perry says his team’s study on paramedic behavior during high-stress situations helped them develop a potentially lifesaving algorithm.

Many of us likely believe that the work of emergency medical technicians is quite straightforward. They respond to an emergency and try to stabilize the patient according to a set medical model until arrival at a hospital.

In reality, EMTs and paramedics are sometimes confronted with a series of life-and-death questions and dilemmas at the scene: How many people have been injured? Who requires medical attention more urgently? What kind of treatment is needed urgently? How many more ambulances should be called? 

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