Innovative Israeli AI algorithm helps handle multiple casualty events

Photo: Markus Spiske/Pexels.Photo: Markus Spiske/Pexels.

Omer Perry, teacher at Afeka College of Engineering in Tel Aviv, developed a new algorithm designed to more efficiently help people in emergency situations such as terrorist attacks, mass disasters or serious accidents. 

In such crisis situations, available medical resources and personnel are always scarce, and cannot account for the number of victims or the severity of their injuries. 

Through Artificial Intelligence, the algorithm prioritizes victims according to the severity of their injuries and the capacity of the different ambulances and hospitals. 

The Israeli algorithm is designed to help emergency personnel transfer victims to hospitals quickly. 

First, together with his Afeka students, Perry developed a simulator at Ben-Gurion University of the Negev to train paramedics in managing multiple casualty events. Secondly, he incorporated the algorithm into the simulator used for training the paramedics of the Magen David Adom.

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