Alaa Abd-Elsayed, Christopher L Robinson, Zwade Marshall, Sudhir Diwan, Theodore Peters
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Applications of Artificial Intelligence in Pain Medicine.
Purpose of review: This review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning.
Recent findings: Utilizing a literature search conducted through the PubMed database, several current trends were identified, including the use of AI as a tool for diagnostics, predicting pain progression, predicting treatment response, and performance of therapy and pain management. Results of these studies show promise for the improvement of patient outcomes. Current gaps in the research and subsequent directions for future study involve AI in optimizing and improving nerve stimulation and more thoroughly predicting patients' responses to treatment.
期刊介绍：
This journal aims to review the most important, recently published clinical findings regarding the diagnosis, treatment, and management of pain and headache. By providing clear, insightful, balanced contributions by international experts, the journal intends to serve all those involved in the care and prevention of pain and headache.
We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as anesthetic techniques in pain management, cluster headache, neuropathic pain, and migraine. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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