AI in medicine

Picture this: a digital watchdog, prowling through heaps of patient data, poised to raise the alarm at the slightest sign of trouble. Enter a guardian angel, in the guise of algorithms designed to forewarn medical staff of impending crises. But is it truly a beacon of salvation or a mirage in the desert of clinical uncertainty?
Sepsis, an overwhelming infection, remains among hospitals’ most difficult conditions to identify and treat. Algorithms within electronic medical records have been developed to help clinicians. So how is this real-world A.I. of medicine working out? Just a bit better than a coin toss.