Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis

Journals

1. Komasawa N. Revitalizing Postoperative Pain Management in Enhanced Recovery After Surgery via Inter-departmental Collaboration Toward Precision Medicine: A Narrative Review. Cureus 2024 View
2. Ben Aoun N. A Review of Automatic Pain Assessment from Facial Information Using Machine Learning. Technologies 2024;12(6):92 View
3. S. Patil M, D. Patil H. Acute Pain Recognition using an Ensemble Learning Methods: Evaluation of Performance and Comparison. International Research Journal of Multidisciplinary Technovation 2025:102 View
4. Liu C, Li S, Zhou J, Zhao H, Zhou R, Zhu C, Chen S, Chen H, Zhang M. Enhancing Pain Assessment Among Post-Surgery Patients at a Tertiary Hospital in China. Journal of Nursing Care Quality 2025;40(3):E40 View
5. Yang Chengdong 杨, Li Xinwei 李, Su Linlin 苏, Tong Jiaying 童, Liu Tianyi 刘. 基于隧穿调制的多级痛觉感受器模拟. Acta Optica Sinica 2025;45(1):0117001 View
6. Adams M, Bowness J, Nelson A, Hurley R, Narouze S. A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements. Current Opinion in Anaesthesiology 2025 View
7. Cascella M, Ponsiglione A, Santoriello V, Romano M, Cerrone V, Esposito D, Montedoro M, Pellecchia R, Savoia G, Lo Bianco G, Innamorato M, Natoli S, Montomoli J, Semeraro F, Bignami E, Bellini V, Leoni M, Occhigrossi F, Vittori A, Pace M, Buonanno P, Forte M, Chinè E, Carpenedo R, De Cassai A, Papa A, Marchesini M, Terranova G, Micheli F, Demartini L, Marinangeli F, Raffaeli W, Coluzzi F, Tinnirello A, Arcioni R, Marra A, Shariff M, Monaco F, Finco G, Bramanti A, Piazza O. Expert consensus on feasibility and application of automatic pain assessment in routine clinical use. Journal of Anesthesia, Analgesia and Critical Care 2025;5(1) View