The Application of Artificial Intelligence to Enhance Spinal Cord Stimulation Efficacy for Chronic Pain Management: Current Evidence and Future Directions

被引：0
作者：
John V. Prunskis [1 ]
Tadas Masys [2 ]
Stephen T. Pyles [17 ]
Alaa Abd-Elsayed [3 ]
Timothy R. Deer [4 ]
Douglas P. Beall [5 ]
Ramis Gheith [6 ]
Sheel Patel [7 ]
Dawood Sayed [8 ]
Hadi Moten [1 ]
Todd Hagle [9 ]
Chadi I. Yaacoub [1 ]
Leon Anijar [10 ]
Mayank Gupta [11 ]
Terri Dallas-Prunskis [1 ]
机构：
[1] DxTx Pain and Spine,Department of Anesthesiology
[2] Loyola University Chicago,Department of Anesthesiology
[3] University of Central Florida College of Medicine,Department of Anesthesiology and Pain Medicine
[4] Pain Treatment Center,Kansas Pain Management and Neuroscience Research Center
[5] University of Wisconsin School of Medicine and Public Health,Department of Anesthesiology and Pain Medicine
[6] The Spine and Nerve Center of the Virginias,undefined
[7] Comprehensive Specialty Care,undefined
[8] Interventional Pain Institute,undefined
[9] APAC Centers for Interventional Pain Management,undefined
[10] Crown Point,undefined
[11] The University of Kansas Medical Center,undefined
[12] Illinois Pain and Spine Institute,undefined
[13] Spine and Wellness Centers of America,undefined
[14] Flagler Health,undefined
[15] LLC,undefined
[16] Kansas City University of Medicine and Biosciences,undefined
来源：
Current Pain and Headache Reports | 2025年 / 29卷 / 1期
关键词：
Spinal cord stimulation; Artificial intelligence; Neuromodulation; Chronic pain management; Machine learning; Closed-loop systems;
D O I：
10.1007/s11916-025-01400-4
中图分类号：
学科分类号：
摘要：
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