Artificial Intelligence Models Could Enhance the Diagnostic Accuracy (DA) of Fecal Immunochemical Test (FIT) in the Detection of Colorectal Adenoma in a Screening Setting
In detection of CRA, the AI models proved to be superior to the diagnostic features without AI. This is the first study to report that DA in the diagnosis of CRA can be enhanced by AI models that include clinical data of the patients and results of FIT test.
Authors
- Kai Kaarniranta (ORCID: https://orcid.org/0000-0003-2600-8679)
- Tuomas A. Selander (ORCID: https://orcid.org/0000-0002-0070-8565)
- Matti J. Eskelinen (ORCID: https://orcid.org/0000-0002-6282-9725)
- Denise Peixoto Guimarães (ORCID: https://orcid.org/0000-0002-0568-7038)
- Karí Syrjänen (ORCID: https://orcid.org/0000-0001-7180-7491)
- MAARET ESKELINEN
Institutions
- University of Eastern Finland (FI)
- Kuopio University Hospital (FI)
- Hospital de Câncer de Barretos (BR)
Publication Details
- Journal
- Anticancer Research
- Published
- 2024-12-30
- DOI
- https://doi.org/10.21873/anticanres.17414
- Citations
- 2
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Pohjois-Savon Rahasto