Abstract

Artificial intelligence (AI) and machine learning technologies are revolutionizing the landscape of pain management through enhanced diagnostic accuracy, prognostic prediction, and personalized treatment strategies. This comprehensive review examines the current applications of AI in pain medicine, including pain diagnosis and classification, prognosis and chronicity prediction, personalized pharmacological and non-pharmacological management, and real-time monitoring systems. We explore the integration of AI-driven decision support systems in perioperative care, the role of wearable devices and telemedicine platforms, and address the challenges related to data privacy, algorithm bias, and clinical implementation. While AI demonstrates significant promise in improving patient outcomes and reducing healthcare burden, substantial barriers to clinical integration remain. This review highlights the need for rigorous validation studies, diverse population representation, and development of clinician-friendly interpretable AI models to facilitate adoption in Indian healthcare settings.

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Funding