Predicting Post‐ <scp>ERCP</scp> Pancreatitis Using Machine Learning: Risk Stratification and Feature Importance Analysis
ML is highly promising for prediction of PEP. Future studies should focus on multicenter data, inclusion of multimodal data, severity risk-stratification, and real-time application.
Authors
- Reyhaneh Rastegar (ORCID: https://orcid.org/0000-0003-3611-6286)
- Amir Sadeghi (ORCID: https://orcid.org/0000-0002-9300-1066)
- Erfan Arabpour (ORCID: https://orcid.org/0000-0003-0557-1278)
- Mohammad Reza Zali (ORCID: https://orcid.org/0000-0002-9293-7954)
- Parvaneh Mohammadi
- Pardis Ketabi Moghadam
- Seyed Amir Ahmad Safavi‐Naini
Institutions
- Research Institute for Endocrine Sciences (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Journal of Hepato-Biliary-Pancreatic Sciences
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1002/jhbp.70053
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00