Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications
Artificial intelligence technologies have achieved clinical validation for specific colorectal surgery applications, with several receiving regulatory approval. Successful integration requires understanding fundamental concepts, appropriate clinical application, and structured training approaches. Part II of this series examines research applications, implementation resources, challenges, and future directions that will further transform surgical practice.
Authors
- Monique C. Matos
- Sean Joseph Langenfeld (ORCID: https://orcid.org/0000-0001-7795-867X)
- Ankit Sarin (ORCID: https://orcid.org/0000-0001-5671-2267)
- Samuel Eisenstein (ORCID: https://orcid.org/0000-0002-2646-0625)
- Hussam Shwaib
- Nell Maloney Patel (ORCID: https://orcid.org/0000-0003-2310-5094)
- Chris Seffren
- Marco Ferrara
Institutions
- Rutgers, The State University of New Jersey (US)
- University of Central Florida (US)
- Orlando Health (US)
- University of San Diego (US)
- UC San Diego Health System (US)
- Johnson University (US)
- Rutgers Sexual and Reproductive Health and Rights (NL)
- University of Nebraska Medical Center (US)
- University of California, Davis (US)
- Florida College (US)
Publication Details
- Journal
- Diseases of the Colon & Rectum
- Published
- 2026-03-27
- DOI
- https://doi.org/10.1097/dcr.0000000000004138
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00