Supervised machine learning algorithms using information from blood tests alone outperformed physicians in differentiating alcohol-associated hepatitis from acute cholangitis in a study from Mayo Clinic. These computer algorithms that learn from data demonstrated excellent performance in discriminating between the two conditions, with over 93% accuracy.
“This study highlights the potential for MLAs [machine learning algorithms] to serve as useful tools in clinical decision making in cases