A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements
This roadmap outlines a comprehensive methodological framework for AI in pain medicine, emphasizing four key phases: problem definition, algorithm development, validation, and implementation. Critical areas for future development include perioperative pain trajectory prediction, real-time procedural guidance, and personalized treatment optimization. Success ultimately depends on maintaining strong partnerships between clinicians, developers, and researchers while addressing ethical, regulatory, and educational considerations.
Authors
- Samer Narouze (ORCID: https://orcid.org/0000-0003-1849-1402)
- Robert W. Hurley (ORCID: https://orcid.org/0000-0001-6591-9390)
- Meredith C B Adams (ORCID: https://orcid.org/0000-0002-3969-4279)
- Ariana M. Nelson (ORCID: https://orcid.org/0000-0003-1575-1635)
- James Simeon Bowness (ORCID: https://orcid.org/0000-0002-8665-1984)
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- University of California, Irvine (US)
- University Hospitals of Cleveland (US)
- University College London (GB)
- Wake Forest University (US)
Publication Details
- Journal
- Current Opinion in Anaesthesiology
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1097/aco.0000000000001508
- Citations
- 9
- Primary Topic
- Anesthesia and Pain Management
- Type
- article
- Field-Weighted Citation Impact
- 18.06