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ECG-Based AI Could Reduce Hospital Mortality

An artificial intelligence system that alerts hospital physicians about patients' high risk for mortality reduces the number of deaths, according to a study.

Taiwan s everywhere war | The Manila Times

Night was falling when sergeant Pa Wen-shan rode his motorcycle up the steep, narrow road that leads home. It had been a long journey. Four hours on the train from Chiayi, then another 45 minutes on the road from the station in Taitung, the only city on Taiwan s remote south-east coast. Once the Pacific fell back behind him and he entered the valley where Jialan, his village, is located, a rush of cool air dried the sweat on his face. The village sits on a slim, slanted plateau. Pa, then 25, passed the baseball field where he played as a boy. The cemetery where his father was buried a month earlier. On the final ascent to his family s home, he saw that the neighbours had started drinking. Sitting around wood fires in front of their one-storey cement houses, they called out to him: Galawas!

AI-Enabled Electrocardiogram Alert Intervention Reduces All-Cause Mortality

Implementation of an artificial intelligence-enabled ECG reduced the risk of all-cause mortality within 90 days among hospitalized patients.

AI that determines risk of death helps save lives in hospital trial

An AI trained on the heart's electrical activity alerted physicians about patients at high risk of dying, significantly reducing deaths in a clinical trial with almost 16,000 patients at two hospitals

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