The role of artificial intelligence in colon polyps detection.

Autor: Rasouli P; Department of Computer, West Tehran Branch, Islamic Azad University, Tehran, Iran., Dooghaie Moghadam A; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Eslami P; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Aghajanpoor Pasha M; Gastroenterology and Hepatobiliary Research Center, AJA University of Medical Sciences, Tehran, Iran., Asadzadeh Aghdaei H; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mehrvar A; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Nezami-Asl A; Research Center for Cancer Screening and Epidemiology, AJA University of Medical Sciences, Tehran, Iran., Iravani S; Research Center for Cancer Screening and Epidemiology, AJA University of Medical Sciences, Tehran, Iran., Sadeghi A; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Zali MR; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jazyk: angličtina
Zdroj: Gastroenterology and hepatology from bed to bench [Gastroenterol Hepatol Bed Bench] 2020 Summer; Vol. 13 (3), pp. 191-199.
Abstrakt: 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.
(©2020 RIGLD, Research Institute for Gastroenterology and Liver Diseases.)
Databáze: MEDLINE
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