How Mount Sinai uses AI to predict death risk

New York City-based Mount Sinai Hospital is using a series of artificial intelligence-based algorithms to generate a score that predicts patient risk, The Washington Post reported Aug. 10.

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Clinicians get flagged when a patient’s score goes above 0.65. The tool worked to help identify a patient with a kinked chest tube and get his breathing to stabilize. Mount Sinai Hospital President David Reich, MD, told the Post that the hospital had planned to roll out AI for a few years but was delayed by the COVID-19 pandemic.

Despite the popularity of generative AI tools, such as ChatGPT, Mount Sinai is mainly focusing on AI-powered algorithms.

The health system has raised over $100 million in private philanthropy to build on-site computing capabilities that allow for Mount Sinai programmers to build AI tools in-house.

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