Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy.
adenoma detection rate
artificial intelligence
computer-aided detection/diagnosis
post colonoscopy colorectal cancer
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
22 May 2022
22 May 2022
Historique:
received:
24
03
2022
revised:
18
05
2022
accepted:
20
05
2022
entrez:
28
5
2022
pubmed:
29
5
2022
medline:
29
5
2022
Statut:
epublish
Résumé
The early endoscopic identification, resection, and treatment of precancerous adenoma and early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer but also its mortality rate. Recent advances in endoscopic devices and imaging technology have dramatically improved our ability to detect colorectal lesions and predict their pathological diagnosis. In addition to this, rapid advances in artificial intelligence (AI) technology mean that AI-related research and development is now progressing in the diagnostic imaging field, particularly colonoscopy, and AIs (i.e., devices that mimic cognitive abilities, such as learning and problem-solving) already approved as medical devices are now being introduced into everyday clinical practice. Today, there is an increasing expectation that sophisticated AIs will be able to provide high-level diagnostic performance irrespective of the level of skill of the endoscopist. In this paper, we review colonoscopy-related AI research and the AIs that have already been approved and discuss the future prospects of this technology.
Identifiants
pubmed: 35629049
pii: jcm11102923
doi: 10.3390/jcm11102923
pmc: PMC9143862
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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