The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy.
Barrett’s esophagus
H. pylori
artificial intelligence
esophageal squam cell carcinoma
gastric cancer
upper gastrointestinal endoscopy
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
05 Sep 2023
05 Sep 2023
Historique:
received:
30
07
2023
revised:
28
08
2023
accepted:
01
09
2023
medline:
28
9
2023
pubmed:
28
9
2023
entrez:
28
9
2023
Statut:
epublish
Résumé
Recently, there has been a growing interest in the application of artificial intelligence (AI) in medicine, especially in specialties where visualization methods are applied. AI is defined as a computer's ability to achieve human cognitive performance, which is accomplished through enabling computer "learning". This can be conducted in two ways, as machine learning and deep learning. Deep learning is a complex learning system involving the application of artificial neural networks, whose algorithms imitate the human form of learning. Upper gastrointestinal endoscopy allows examination of the esophagus, stomach and duodenum. In addition to the quality of endoscopic equipment and patient preparation, the performance of upper endoscopy depends on the experience and knowledge of the endoscopist. The application of artificial intelligence in endoscopy refers to computer-aided detection and the more complex computer-aided diagnosis. The application of AI in upper endoscopy is aimed at improving the detection of premalignant and malignant lesions, with special attention on the early detection of dysplasia in Barrett's esophagus, the early detection of esophageal and stomach cancer and the detection of
Identifiants
pubmed: 37761229
pii: diagnostics13182862
doi: 10.3390/diagnostics13182862
pmc: PMC10528171
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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