Chang MC. Use of artificial intelligence in the field of pain medicine. World J Clin Cases 2024; 12(2): 236-239 [PMID: 38313631 DOI: 10.12998/wjcc.v12.i2.236]
Corresponding Author of This Article
Min Cheol Chang, MD, Professor, Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, 317-1, Daemyungdong, Namku, Daegu 705-717, South Korea. wheel633@gmail.com
Research Domain of This Article
Medicine, General & Internal
Article-Type of This Article
Editorial
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/
World J Clin Cases. Jan 16, 2024; 12(2): 236-239 Published online Jan 16, 2024. doi: 10.12998/wjcc.v12.i2.236
Use of artificial intelligence in the field of pain medicine
Min Cheol Chang
Min Cheol Chang, Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu 705-717, South Korea
Author contributions: Chang MC designed the study, performed the study, analyzed the data, and wrote the manuscript; Chang MC has read and approve the final manuscript.
Supported bythe National Research Foundation of Korea Grant funded by the Korea Government, No. 00219725.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for 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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Min Cheol Chang, MD, Professor, Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, 317-1, Daemyungdong, Namku, Daegu 705-717, South Korea. wheel633@gmail.com
Received: November 7, 2023 Peer-review started: November 7, 2023 First decision: December 5, 2023 Revised: December 6, 2023 Accepted: December 21, 2023 Article in press: December 21, 2023 Published online: January 16, 2024 Processing time: 64 Days and 15.5 Hours
Core Tip
Core Tip: Artificial intelligence (AI) technology is revolutionizing the field of pain medicine by facilitating accurate diagnosis, ensuring precise interpretation of medical images, and predicting treatment outcome. AI algorithms assist clinicians in selecting appropriate diagnostic tests, analyzing complex imaging data, and personalizing treatment plans, thereby enhancing overall patient care. For efficient utilization of AI in the pain medicine field, it is crucial to enhance the accuracy of AI decision-making by using more medical data, while issues related to the protection of patient personal information and responsibility for AI decisions will have to be addressed. In the future, AI technology is expected to be innovatively applied in the field of pain medicine.
