aceCurrent state of research and future developments of artificial intelligence in pain diagnosis and treatment
Chronic pain represents a significant global health challenge, with traditional diagnostic and therapeutic approaches facing limitations in objective assessment and precision treatment. Advances in artificial intelligence (AI) technology have opened new avenues for addressing these challenges. This review systematically examines the current state and future trends of AI research in the field of pain medicine. The article focuses on three core research directions: In pain assessment, studies concentrate on levera…
AI systems are being developed to fuse facial expressions, voice, and physiological signals to objectively quantify pain and to automatically segment spine, nerves, and needle tips to improve identification accuracy.
AI research in pain medicine still faces challenges with research data generalization, multimodal fusion strategies, model interpretability, and ethical compliance.
Review notes unresolved challenges around data generalization, multimodal fusion, interpretability, and ethical compliance that limit clinical translation.
Evidence
- Peer-reviewedJournal of Translational Medicine2026-09-12
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Truvace Impact Record TRV-2026-1080, v1: “Current state of research and future developments of artificial intelligence in pain diagnosis and treatment.” Truvace, 2026-09-14. /record/TRV-2026-1080 (accessed at citation time). sha256 362f9a1271f457d0…
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