Third Eye? The Assistance of Artificial Intelligence (AI) in the Endoscopy of Gastrointestinal Neoplasms.
artificial intelligence
colorectal cancer
endoscopy
esophageal cancer
gastric cancer
gastrointestinal tract
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
24 Oct 2023
24 Oct 2023
Historique:
received:
04
09
2023
revised:
19
10
2023
accepted:
21
10
2023
medline:
14
11
2023
pubmed:
14
11
2023
entrez:
14
11
2023
Statut:
epublish
Résumé
Gastrointestinal cancers are characterized by high incidence and mortality. However, there are well-established methods of screening. The endoscopy exam provides the macroscopical image and enables harvesting the tissue samples for further histopathological diagnosis. The efficiency of endoscopies relies not only on proper patient preparation, but also on the skills of the personnel conducting the exam. In recent years, a number of reports concerning the application of artificial intelligence (AI) in medicine have arisen. Numerous studies aimed to assess the utility of deep learning/ neural network systems supporting endoscopies. In this review, we summarized the most recent reports and randomized clinical trials regarding the application of AI in screening and surveillance of gastrointestinal cancers among patients suffering from esophageal, gastric, and colorectal cancer, along with the advantages, limitations, and controversies of those novel solutions.
Identifiants
pubmed: 37959187
pii: jcm12216721
doi: 10.3390/jcm12216721
pmc: PMC10650785
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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