Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer - 27/11/24

Doi : 10.1016/j.giec.2024.10.005

Tommy Rizkala, MD ^a, Maddalena Menini, MD ^a, Davide Massimi, MD ^a, Alessandro Repici, MD ^a,^b,^⁎
^a Endoscopy Unit, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy
^b Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan 20072, Italy

^∗Corresponding author. Humanitas Research Hospital and University, Via Manzoni 56, Rozzano, Milano 20089, Italy.Humanitas Research Hospital and UniversityVia Manzoni 56RozzanoMilano20089Italy

Sous presse. Épreuves corrigées par l'auteur. Disponible en ligne depuis le Wednesday 27 November 2024

Résumé

The broad use of artificial intelligence (AI) and its various applications have already shown significant impact in medicine and in everyday life. In gastroenterology, the most studied AI tools at present are computer-aided detection (CADe) and computer-aided diagnosis (CADx). These tools have been mainly assessed during colonoscopy for the detection of polyps and for the prediction of their histology based on their appearance. Their use aims to improve colonoscopy quality, standardize procedures, and potentially reduce costs. Data on CADe demonstrate clear benefits that are applicable to clinical practice. While CADx shows good diagnostic performance, its additional benefits in assisting endoscopists remain unclear.

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Keywords : Artificial intelligence, Colonoscopy, Polyp, Computer-aided detection, CADe, Computer-aided diagnosis, CADx, Colorectal cancer