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Chen D, Zhai Y, Li M. Considerations and prospects for validating a machine learning-based choledocholithiasis prediction model. Endoscopy 2024; 56:553. [PMID: 38936355 DOI: 10.1055/a-2271-0643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Affiliation(s)
- Dexin Chen
- Division of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yaqi Zhai
- Division of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- Harvard Medical School, Boston, United States
| | - Mingyang Li
- Division of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
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Law R, Perez-Miranda M. A ghost in the machine: is machine learning necessary for prediction of choledocholithiasis? Endoscopy 2024; 56:172-173. [PMID: 38262425 DOI: 10.1055/a-2233-0136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Affiliation(s)
- Ryan Law
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, United States
| | - Manuel Perez-Miranda
- Gastroenterology Department, Hospital Universitario Rio Hortega, Valladolid, Spain
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