After two intensive workshops, the Coalition for AI Health is preparing to ready guidelines for the responsible use of algorithms in clinical settings.
Over two years, a machine-learning program warned thousands of health care providers about patients at high risk of sepsis, allowing them to begin treatments nearly two hours sooner
Algorithms are more and more common in hospitals and at the patients’ bedside, but they’re complex and often hard to understand. We broke down the process by which one algorithm, designed to flag risk of sepsis, makes a decision.