Medicine and Health
Deciphering clinical abbreviations with a privacy protecting machine learning system
A. Rajkomar, E. Loreaux, et al.
Physicians often rely on clinical abbreviations, leading to confusion for patients and even their peers. This groundbreaking research from Alvin Rajkomar and team harnesses a machine learning model to decode these shorthand terms with remarkable accuracy, sometimes outperforming board-certified physicians. Discover how technology can bridge the gap in medical communication!
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