Gastroenterology and Hepatology from Bed to Bench,
2 June 2020
Over the past few decades, artificial intelligence (AI) have evolved dramatically and is believed to have a significant impact on all aspect of technology and daily life. The use of AI in health care system has been rapidly rising, owing to the large amount of data. Various methods of AI including machine learning, deep learning and convolutional neural network have been used in diagnostic imaging that could help physicians to achieve accurate diagnosis and determining the appropriate treatment of diseases. Using and collecting huge number of digital images and medical records have led to create 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. On the other hand, 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 about different aspects of AI usage for early detection and treatment of gastroenterology diseases.