Albert Kuo

Aug 13, 2024 | giejournal.org | Todd A. Brenner |Albert Kuo |Ayesha Kamal |B. Joseph Elmunzer |Hui Luo |James L. Buxbaum | +9 more

This paper is only available as a PDF. To read, Please Download here. Abstract: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision-making related to periprocedural prophylaxis selection and post-procedural monitoring. Feature selection, model training, and validation were performed using patient-level data from 12 randomized controlled trials.

Aug 13, 2024 | giejournal.org | Todd A. Brenner |Albert Kuo

Original article | Clinical endoscopyVolume 101, Issue 1p129-138.e0 1Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA 2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 3Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, Netherlands 4Division of Gastroenterology and Hepatology, Medical University of South Carolina, Charleston, South Carolina, USA 5Xijing...