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
Abstract
In this editorial we comment on the article “Potential and limitations of ChatGPT and generative artificial intelligence in medial safety education” published in the recent issue of the World Journal of Clinical Cases. This article described the usefulness of artificial intelligence (AI) in medial safety education. Herein, we focus specifically on the use of AI in the field of pain medicine. AI technology has emerged as a powerful tool, and is expected to play an important role in the healthcare sector and significantly contribute to pain medicine as further developments are made. AI may have several applications in pain medicine. First, AI can assist in selecting testing methods to identify causes of pain and improve diagnostic accuracy. Entry of a patient’s symptoms into the algorithm can prompt it to suggest necessary tests and possible diagnoses. Based on the latest medical information and recent research results, AI can support doctors in making accurate diagnoses and setting up an effective treatment plan. Second, AI assists in interpreting medical images. For neural and musculoskeletal disorders, imaging tests are of vital importance. AI can analyze a variety of imaging data, including that from radiography, computed tomography, and magnetic resonance imaging, to identify specific patterns, allowing quick and accurate image interpretation. Third, AI can predict the outcomes of pain treatments, contributing to setting up the optimal treatment plan. By predicting individual patient responses to treatment, AI algorithms can assist doctors in establishing a treatment plan tailored to each patient, further enhancing treatment effectiveness. 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. The advancement of AI is anticipated to have a positive impact on the entire medical field by providing patients with accurate and effective medical services.
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.
