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Review
. 2022 May 28;28(20):2152-2162.
doi: 10.3748/wjg.v28.i20.2152.

Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease

Affiliations
Review

Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease

Hai-Yang Chen et al. World J Gastroenterol. .

Abstract

Given the breakthroughs in key technologies, such as image recognition, deep learning and neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to closer and deeper integration with an increasingly data-, knowledge- and brain labor-intensive medical industry. As society continues to advance and individuals become more aware of their health needs, the problems associated with the aging of the population are receiving increasing attention, and there is an urgent demand for improving medical technology, prolonging human life and enhancing health. Digestive system diseases are the most common clinical diseases and are characterized by complex clinical manifestations and a general lack of obvious symptoms in the early stage. Such diseases are very difficult to diagnose and treat. In recent years, the incidence of diseases of the digestive system has increased. As AI applications in the field of health care continue to be developed, AI has begun playing an important role in the diagnosis and treatment of diseases of the digestive system. In this paper, the application of AI in assisted diagnosis and the application and prospects of AI in malignant and benign digestive system diseases are reviewed.

Keywords: Artificial intelligence; Convolutional neural network; Deep learning; Digestive disease; Review.

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Conflict of interest statement

Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.

Figures

Figure 1
Figure 1
Artificial intelligence and digestive diseases. AI: Artificial intelligence; GC: Gastric cancer; LC: Liver cancer; PDAC: Pancreatic ductal adenocarcinoma; UC: Ulcerative colitis; AP: Acute pancreatitis; GU: Gastric ulcer.
Figure 2
Figure 2
Artificial intelligence and Intelligent guidance. CNN: Convolutional neural network; DL: Deep learning; ML: machine learning; CAD: Computer-aided design.

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References

    1. Parasher G, Wong M, Rawat M. Evolving role of artificial intelligence in gastrointestinal endoscopy. World J Gastroenterol. 2020;26:7287–7298. - PMC - PubMed
    1. Sensakovic WF, Mahesh M. Role of the Medical Physicist in the Health Care Artificial Intelligence Revolution. J Am Coll Radiol. 2019;16:393–394. - PubMed
    1. Togashi K. Applications of artificial intelligence to endoscopy practice: The view from Japan Digestive Disease Week 2018. Dig Endosc. 2019;31:270–272. - PubMed
    1. He J, Baxter SL, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25:30–36. - PMC - PubMed
    1. Rudin RS, Friedberg MW, Shekelle P, Shah N, Bates DW. Getting Value From Electronic Health Records: Research Needed to Improve Practice. Ann Intern Med. 2020;172:S130–S136. - PubMed