A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...
Main outcome measures The main outcome was the type of injuries observed by international healthcare workers during the conflict in Gaza. A Delphi informed survey was distributed through ...
A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) assigns diagnostic codes could significantly improve accuracy, even ...
Background: Determining optimal timing for intensifying the frequency of physician encounters for type 2 diabetes mellitus (T2DM) requires trade-offs between timely care and clinician burden. We aimed ...
BACKGROUND: Early detection of atrial fibrillation (AF) is essential for preventing ischemic stroke and other cardiovascular complications. However, the incidence and prognosis of AF in the general ...
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