The role of artificial intelligence in colon polyps detection.
Artificial intelligence
Colonoscopy.
Computer-assisted
Deep learning
Image processing
Polyp detection
Journal
Gastroenterology and hepatology from bed to bench
ISSN: 2008-2258
Titre abrégé: Gastroenterol Hepatol Bed Bench
Pays: Iran
ID NLM: 101525875
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
22
8
2020
pubmed:
22
8
2020
medline:
22
8
2020
Statut:
ppublish
Résumé
Over the past few decades, artificial intelligence (AI) has evolved dramatically and is believed to have a significant impact on all aspects of technology and daily life. The use of AI in the healthcare system has been rapidly growing, owing to the large amount of data. Various methods of AI including machine learning, deep learning and convolutional neural network (CNN) have been used in diagnostic imaging, which have helped physicians in the accurate diagnosis of diseases and determination of appropriate treatment for them. Using and collecting a huge number of digital images and medical records has led to the creation of big data over a time period. Currently, considerations regarding the diagnosis of various presentations in all endoscopic procedures and imaging findings are solely handled by endoscopists. Moreover, AI has shown to be highly effective in the field of gastroenterology in terms of diagnosis, prognosis, and image processing. Herein, this review aimed to discuss different aspects of AI use for early detection and treatment of gastroenterology diseases.
Types de publication
Journal Article
Review
Langues
eng
Pagination
191-199Informations de copyright
©2020 RIGLD, Research Institute for Gastroenterology and Liver Diseases.
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