| Autor: |
Siggens, K., Htet, H., Longcroft-Wheaton, G., Bombeo, L., Abdelrahim, M., Subramaniam, S., Bhandari, P. |
| Předmět: |
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| Zdroj: |
Endoscopy; 2024 Supplement 2, Vol. 56, pS150-S150, 1p |
| Abstrakt: |
This article discusses the use of Artificial Intelligence (AI) in endoscopy for the detection of neoplasia in patients with inflammatory bowel disease (IBD). The study evaluated the efficacy of a novel Computer Aided Detection (CADe) algorithm called CADe-IBD. The algorithm was used in conjunction with standard care during colonoscopies, and its effectiveness was assessed by comparing its results to those of expert endoscopists. The CADe-IBD algorithm demonstrated a high sensitivity for lesion detection, with a low miss rate for true neoplasia. The findings suggest that CADe-IBD has the potential to replace current chromoendoscopy-based surveillance practices. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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