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AI, machine learning tech enable prevention of emergency medical events

Artificial intelligence and machine learning technology can be harnessed to predict life-threatening events such as ventricular tachycardia, enabling preventive care, says cardiologist Daniel Cantillon, medical director at Cleveland Clinic's Central Monitoring Unit, where technicians use technology to monitor patients. The command center model is in use at Nemours Children's Hospitals, Johns Hopkins Hospital, Yale New Haven Hospital and others, and a paper published in the Journal of the American Medical Association found that CMU alerts were accurate in 79% of emergency heart rate or rhythm changes and predicted 27 cardiac arrests.

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