Improving the Real-Time Classification of Disease Severity in Ulcerative Colitis: Artificial Intelligence as the Trigger for a Second Opinion
Our innovative AI model shows significant potential for enhancing the accuracy of UC severity classification and improving the proficiency of non-IBD experts. It is designed for clinical use and has proven feasible in real-world testing.
Authors
- Johan M. Burisch (ORCID: https://orcid.org/0000-0002-3312-5139)
- Signe Wildt (ORCID: https://orcid.org/0000-0001-6391-1782)
- Christian Igel (ORCID: https://orcid.org/0000-0003-2868-0856)
- Flemming Bendtsen (ORCID: https://orcid.org/0000-0002-8419-2104)
- Ida Vind
- Bulat Ibragimov (ORCID: https://orcid.org/0000-0001-7739-7788)
- Bobby Zhao Sheng Lo (ORCID: https://orcid.org/0000-0002-0252-9341)
- Björn Möller (ORCID: https://orcid.org/0009-0008-3007-4007)
Institutions
- University of Copenhagen (DK)
- Hvidovre Hospital (DK)
- Copenhagen University Hospital (DK)
Publication Details
- Journal
- The American Journal of Gastroenterology
- Published
- 2025-02-28
- DOI
- https://doi.org/10.14309/ajg.0000000000003382
- Citations
- 3
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.14