GI genius endoscopy module: a clinical profile.
Adenoma detection rate
Artificial intelligence
Colonoscopy
Colorectal cancer screening
GI Genius
Journal
Expert review of medical devices
ISSN: 1745-2422
Titre abrégé: Expert Rev Med Devices
Pays: England
ID NLM: 101230445
Informations de publication
Date de publication:
15 Apr 2024
15 Apr 2024
Historique:
medline:
15
4
2024
pubmed:
15
4
2024
entrez:
15
4
2024
Statut:
aheadofprint
Résumé
The identification of early-stage colorectal cancers (CRC) and the resection of pre-cancerous neoplastic lesions through colonoscopy allows to decrease both CRC incidence and mortality. However, colonoscopy miss rates up to 26% for adenomas and 9% for advanced adenomas have been reported. In recent years, artificial intelligence (AI) systems have been emerging as easy-to-use tools, potentially lowering the risk of missing lesions. This review paper focuses on GI Genius device (Medtronic Co. Minneapolis, MN, U.S.A.) a computer-assisted tool designed to assist endoscopists during standard white-light colonoscopies in detecting mucosal lesions. Randomized controlled trials (RCTs) indicate that GI Genius is a safe and effective tool for improving adenoma detection, especially in CRC screening and surveillance colonoscopies. However, its impact seems to be less significant among experienced endoscopists and in real-world clinical scenarios compared to the controlled conditions of RCTs. Furthermore, the contribution of GI Genius appears to be mainly related to detection of non-advanced, diminutive polyps, while it doesn't seem to affect the identification of advanced and difficult-to-detect adenomas. When using GI Genius, there were no documented side-events, with only a small number of studies reporting an increased withdrawal time or an increased removal of non-neoplastic lesions.
Identifiants
pubmed: 38618982
doi: 10.1080/17434440.2024.2342508
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM