A team of Yale researchers at the Cardiovascular Data Science Lab at the School of Medicine recently published a study showcasing a new artificial intelligence tool for predicting the risk of heart ...
Failure-to-Rescue Rates Predicted by Hospital Volume, Study Finds Cardiovascular surgery patients at low-volume hospitals are 57 percent more likely to die from failure to rescue after a major ...
Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...
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