Colorectal polyp diagnosis with contemporary artificial intelligence
Gastrointestinal Endoscopy, 89(6 Supplement): AB403
Abstract
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This 2019 conference abstract describes a research aim to develop artificial intelligence methods for detecting malignant diminutive colorectal polyps. The published abstract states the motivation and objective, but does not report methods or evaluation results.
Summary
The authors describe the reported frequency of missed diminutive neoplastic colorectal polyps as motivation for exploring artificial intelligence–based detection. The abstract states an aim to develop AI methods to improve detection accuracy for malignant diminutive colorectal polyps. It does not provide details of the proposed models, data, evaluation, results, or limitations, so no conclusions about diagnostic performance or clinical use can be drawn from the abstract.
- Pujan Kandel, Rodney LaLonde, Victor Ciofoaia, Michael B. Wallace, Ulas Bagci
- Gastrointestinal Endoscopy, volume 89, issue 6, supplement, page AB403 (June 2019)
- DOI: 10.1016/j.gie.2019.03.613
Cite this work
Pujan Kandel; Rodney LaLonde; Victor Ciofoaia; Michael B. Wallace; Ulas Bagci (2019). Colorectal polyp diagnosis with contemporary artificial intelligence. Gastrointestinal Endoscopy, 89(6 Supplement): AB403 https://doi.org/10.1016/j.gie.2019.03.613
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