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：

引用

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