Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection

Abstract Complex artificial intelligence models, like deep neural networks, have shown exceptional capabilities to detect early-stage polyps and tumors in the gastrointestinal tract. These technologies are already beginning to assist gastroenterologists in the endoscopy suite. To understand how thes...

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Main Authors: Andrea M. Storås, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Wojciech Samek, Pål Halvorsen, Thomas de Lange, Yuichi Mori, Alexander Hann, Tyler M. Berzin, Sravanthi Parasa, Michael A. Riegler
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Explainable artificial intelligence
Concept explanations
Deep learning
Gastroenterology
Online Access:https://doi.org/10.1038/s41598-025-14408-y
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https://doi.org/10.1038/s41598-025-14408-y

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