Detecting high risk of pulmonary embolism

Researchers at Ben Gurion University and Israel’s Sheba Medical Center used AI to detect nearly 2,000 patients at high risk of developing a pulmonary embolism (lung blood clot). Sheba used the BGU algorithm to analyze the records of 46,000 patients who were admitted to ER.

https://nocamels.com/2024/08/sheba-study-ai-can-spot-patients-at-risk-of-pulmonary-embolism/

https://www.jmir.org/2024/1/e48595

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