Esophageal squamous dysplasia and cancer: Is artificial intelligence our best weapon?
Artificial intelligence
Deep learning
Endoscopy
Esophageal cancer
Journal
Best practice & research. Clinical gastroenterology
ISSN: 1532-1916
Titre abrégé: Best Pract Res Clin Gastroenterol
Pays: Netherlands
ID NLM: 101120605
Informations de publication
Date de publication:
Historique:
received:
21
12
2020
accepted:
22
12
2020
entrez:
26
6
2021
pubmed:
27
6
2021
medline:
21
7
2021
Statut:
ppublish
Résumé
Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognosis. Significant efforts are necessary to improve the detection of early squamous cell cancer such that curative endoscopic therapy can be offered. Studies have shown an overall miss rate of esophageal cancer of up to 6.4%. Human factors including fatigue and lack of attention may be a contributory factor. Computer aided detection and characterisation of early squamous cell cancer can be a second reader which potentially offsets these factors. Recent studies developing artificial intelligence systems show real promise in the detection of early squamous cell cancer and predicting depth of invasion to aid in the management of patients in the same endoscopic session. This has the potential to revolutionise this area of endoscopy.
Identifiants
pubmed: 34172257
pii: S1521-6918(20)30058-5
doi: 10.1016/j.bpg.2020.101723
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
101723Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.