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The role of artificial intelligence in colon polyps detection.

Authors :
Rasouli, Pezhman
Moghadam, Arash Dooghaie
Eslami, Pegah
Pasha, Morteza Aghajanpoor
Aghdaei, Hamid Asadzadeh
Mehrvar, Azim
Nezami-Asl, Amir
Iravani, Shahrokh
Sadeghi, Amir
Zali, Mohammad Reza
Source :
Gastroenterology & Hepatology from Bed to Bench; Summer2020, Vol. 13 Issue 3, p191-199, 9p, 2 Diagrams
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20082258
Volume :
13
Issue :
3
Database :
Complementary Index
Journal :
Gastroenterology & Hepatology from Bed to Bench
Publication Type :
Academic Journal
Accession number :
144698736