Machine-learning models help differentiate alcohol-associated hepatitis, acute cholangitis
Alcohol-associated hepatitis and acute cholangitis were accurately diagnosed by machine-learning algorithms, which also outperformed physicians in distinguishing the two diseases, according to a study in Mayo Clinic Proceedings.“Our study is a proof of concept demonstrating how [machine-learning algorithms] using a few simple variables and routinely available structured clinical information may serve as highly potent prediction tools,” Joseph C. Ahn, MD, a third-year gastroenterology and hepatology fellow at Mayo Clinic in Rochester, and colleagues wrote. “With a similarRead More
