1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...
The Operationalization Gap. It’s the chasm between innovation and everyday practice that is a challenge for all large organizations. Hospital executives will likely not be surprised to learn that the ...
LOS ANGELES--(BUSINESS WIRE)--An international research team led by Etan Orgel, MD at Children’s Hospital Los Angeles (CHLA) has developed a novel machine learning model that can predict an individual ...
It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...
14don MSN
Extreme temperature changes increase number of out-of-hospital cardiac arrests, model finds
Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Adverse effects of chemotherapy often require ...
Health systems across the country face the same pressing problem — rising levels of burnout among physicians. It’s a challenge that’s reaching a crisis point. Nearly all physicians in the U.S. said ...
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