Development and validation of a machine learning-based nomogram for preoperative prediction of laparoscopic surgical difficulty in gallstone patients
This study demonstrates the utility of applying machine learning algorithms to develop a robust nomogram for preoperative prediction of laparoscopic surgical difficulty. By integrating key clinical variables and systemic inflammatory markers, the model provides an effective tool for improving surgical planning and enhancing patient outcomes.
Authors
- Deepu Bai
- Kun Huang (ORCID: https://orcid.org/0000-0002-3369-9749)
- Shunhu Jia
- Xinzhu Yuan (ORCID: https://orcid.org/0009-0001-2331-0824)
- Pingwu Zhao
Institutions
- Mianyang Central Hospital (CN)
Publication Details
- Journal
- Translational Gastroenterology and Hepatology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.21037/tgh-24-124
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00