Machine learning models compared to existing criteria for noninvasive prediction of endoscopic retrograde cholangiopancreatography-confirmed choledocholithiasis.

Background And Aims: Noninvasive predictors of choledocholithiasis have generally exhibited marginal performance characteristics. We aimed to identify noninvasive independent predictors of endoscopic retrograde cholangiopancreatography (ERCP)-confirmed choledocholithiasis and accordingly developed predictive machine learning models (MLMs).

Methods: Clinical data of consecutive patients undergoing first-ever ERCP for suspected choledocholithiasis from 2015-2019 were abstracted from a prospectively-maintained database.

Medical professional liability in gastroenterology: definitions, trends, risk factors, provider behaviors, and implications.

Medical professional liability (MPL) is a notable concern for many clinicians, especially in procedure-intensive specialties such as gastroenterology (GI). Comprehensive understanding of the basis for MPL claims can improve gastroenterologists' practice, lower MPL risk, and improve the overall patient care experience. This is particularly relevant in the setting of the increasing average compensation per paid GI-related MPL claim, and evolving healthcare delivery patterns and regulations.