Lin HM, Xue XF, Wang XG, Dang SC, Gu M. Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer. Artif Intell Gastroenterol 2020; 1(1): 19-29 [DOI: 10.35712/aig.v1.i1.19]
Corresponding Author of This Article
Min Gu, Chief Doctor, Department of Oncology, Zhenjiang Hospital of Traditional Chinese and Western Medicine, No. 18, Tuanshan Road, Zhenjiang 212000, Jiangsu Province, China. dangscjda@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer
Hai-Min Lin, Xiao-Fei Xue, Xiao-Gang Wang, Sheng-Chun Dang, Min Gu
Hai-Min Lin, Sheng-Chun Dang, Department of General Surgery, the Affiliated Hospital, Jiangsu University, Zhenjiang 212001, Jiangsu Province, China
Xiao-Fei Xue, Xiao-Gang Wang, Sheng-Chun Dang, Department of General Surgery, Pucheng Hospital, Weinan 715500, Shaanxi Province, China
Min Gu, Department of Oncology, Zhenjiang Hospital of Traditional Chinese and Western Medicine, Zhenjiang 212000 Jiangsu Province, China
Author contributions: Lin HM and Dang SC designed and drafted the manuscript; Xue XF reviewed the literature; Wang XG and Dang SC discussed and edited the manuscript; Dang SC revised the manuscript.
Supported bygrants from the Zhenjiang Science and Technology Committee, No. SH 2019061.
Conflict-of-interest statement: The author declares no conflicts-of-interest related to this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Min Gu, Chief Doctor, Department of Oncology, Zhenjiang Hospital of Traditional Chinese and Western Medicine, No. 18, Tuanshan Road, Zhenjiang 212000, Jiangsu Province, China. dangscjda@163.com
Received: June 12, 2020 Peer-review started: June 12, 2020 First decision: June 18, 2020 Revised: July 12, 2020 Accepted: July 16, 2020 Article in press: July 16, 2020 Published online: July 28, 2020
Abstract
Pancreatic cancer is a complex cancer of the digestive tract. Diagnosis and treatment can be very difficult because of unclear early symptoms, the deep anatomical location of cancer tissues, and the high degree of cancer cell invasion. The prognosis is extremely poor; the 5-year survival rate of patients with pancreatic cancer is less than 1%. Artificial intelligence (AI) has great potential for application in the medical field. In addition to AI-based applications, such as disease data processing, imaging, and pathological image recognition, robotic surgery has revolutionized surgical procedures. To better understand the current role of AI in pancreatic cancer and predict future development trends, this article comprehensively reports the application of AI to the diagnosis, treatment, and prognosis of pancreatic cancer.
Core tip: There are few unified reports on the use of artificial intelligence (AI) with regard to pancreatic cancer. By collating information on AI’s application in this field in recent years, this article systematically reports the use of AI for the diagnosis, treatment, and prognosis of pancreatic cancer. Accordingly, this article fully depicts the current status of AI in this field and predicts future development trends.
