Transforming personalized chronic pain management with artificial intelligence: A commentary on the current landscape and future directions.

Autor: Casarin S; Center for Precision Surgery, Houston Methodist Research Institute, Houston, TX, USA; LaSIE, UMR 7356 CNRS, La Rochelle Université, La Rochelle, France; Department of Surgery, Houston Methodist Hospital, Houston, TX, USA. Electronic address: scasarin@houstonmethodist.org., Haelterman NA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA., Machol K; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA. Electronic address: keren.machol@bcm.edu.
Jazyk: angličtina
Zdroj: Experimental neurology [Exp Neurol] 2024 Dec; Vol. 382, pp. 114980. Date of Electronic Publication: 2024 Sep 29.
DOI: 10.1016/j.expneurol.2024.114980
Abstrakt: Artificial intelligence (AI) has the potential to revolutionize chronic pain management by guiding the development of effective treatment strategies that are tailored to individual patient needs. This potential comes from AI's ability to analyze large and heterogeneous datasets to identify hidden patterns. When applied to clinical datasets of a particular patient population, AI can be used to identify pain subtypes among patients, predict treatment responses, and guide the clinical decision-making process. However, integrating AI into the clinical practice requires overcoming challenges such as data quality, the complexity of human pain physiology, and validation against diverse patient populations. Targeted, collaborative efforts among clinicians, researchers, and AI specialists will be needed to maximize AI's capabilities and advance current management and treatment of chronic pain conditions.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Dr. Stefano Casarin is supported by the John F. Jr. and Carolyn Bookout Presidential Distinguished Chair fund.
(Copyright © 2024. Published by Elsevier Inc.)
Databáze: MEDLINE
Externí odkaz: