Shukla A, Chaudhary R, Nayyar N. Role of artificial intelligence in gastrointestinal surgery. Artif Intell Cancer 2024; 5(2): 97317 [DOI: 10.35713/aic.v5.i2.97317]
Corresponding Author of This Article
Ankit Shukla, DNB, MCh, Assistant Professor, Department of Surgery, Dr Rajendra Prasad Government Medical College, Tanda, Kangra 176001, Himachal Pradesh, India. nkitshukla@yahoo.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/
Role of artificial intelligence in gastrointestinal surgery
Ankit Shukla, Rajesh Chaudhary, Nishant Nayyar
Ankit Shukla, Department of Surgery, Dr Rajendra Prasad Government Medical College, Kangra 176001, Himachal Pradesh, India
Rajesh Chaudhary, Department of Renal Transplantation, Dr Rajendra Prasad Government Medical College, Kangra 176001, India
Nishant Nayyar, Department of Radiology, Dr Rajendra Prasad Government Medical College, Kangra 176001, Himachal Pradesh, India
Author contributions: All the authors performed the literature search; Shukla A wrote the first draft of the review; Chaudhary R and Nayyar N conceptualized the work, supervised the writing, and gave intellectual input; All authors critically revised the manuscript.
Conflict-of-interest statement: All authors state that they have no conflicts of interest to report.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ankit Shukla, DNB, MCh, Assistant Professor, Department of Surgery, Dr Rajendra Prasad Government Medical College, Tanda, Kangra 176001, Himachal Pradesh, India. nkitshukla@yahoo.com
Received: May 28, 2024 Revised: July 11, 2024 Accepted: July 17, 2024 Published online: September 8, 2024 Processing time: 100 Days and 5.2 Hours
Abstract
Artificial intelligence is rapidly evolving and its application is increasing day-by-day in the medical field. The application of artificial intelligence is also valuable in gastrointestinal diseases, by calculating various scoring systems, evaluating radiological images, preoperative and intraoperative assistance, processing pathological slides, prognosticating, and in treatment responses. This field has a promising future and can have an impact on many management algorithms. In this minireview, we aimed to determine the basics of artificial intelligence, the role that artificial intelligence may play in gastrointestinal surgeries and malignancies, and the limitations thereof.
Core Tip: Artificial intelligence (AI), a term coined by John McCarthy in 1955, is the new-kid-on-the-block in the medical arena, with immense potential to revolutionize how patients may be managed in coming years. It is a science of creating machines with capability to reason and solve problems like human beings. The principal subfields of AI are: (1) Machine learning; (2) artificial neural networks; (3) natural language processing; and (4) computer vision. AI is improving the fields of gastrointestinal surgery and medicine immensely, assisting in diagnoses as well as management of gastrointestinal diseases. As with any new technology, AI has limitations and drawbacks.
