Zakeri Habib, Radmehr Mohammad, Khademi Farnaz, Pedramfard Pegah, Montazeri Leala, Ghanaatpisheh Mahshid, Rahnama Behnam, Mahdiyar Parisa, Moalemi Saba, Hemati Farnaz, Karimi Aliasghar
Research Center for Neuromodulation and Pain, NAB Pain Clinic, Shiraz University of Medical Sciences, Shiraz, Iran.
Medis Holding, Shiraz, Iran.
J Biomed Phys Eng. 2025 Aug 1;15(4):311-322. doi: 10.31661/jbpe.v0i0.2306-1629. eCollection 2025 Aug.
Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide. This condition involves persistent pain lasting more than three months, significantly impacting the quality of life and social interactions of patients. While the causes of chronic pain can often remain unknown, no definitive cure exists for the various known causes. Furthermore, the evaluation and prediction of pain can be challenging, particularly in unconscious patients receiving care in the intensive care unit. Subjective measures and traditional methods are typically employed for diagnosis, assessment, and treatment to identify the most effective approach. However, recent advancements in Artificial Intelligence (AI) and other computer science fields have revolutionized the medical domain, offering a novel and promising avenue for enhancing pain management. This review provides an overview of the potential benefits, limitations, and prospects associated with the role of AI in the diagnosis, assessment, and management of chronic pain.
慢性疼痛是一种普遍存在的病症,也是全球范围内导致旷工的主要原因。这种病症涉及持续超过三个月的持续性疼痛,严重影响患者的生活质量和社交互动。虽然慢性疼痛的病因往往不明,但对于各种已知病因尚无确切的治愈方法。此外,疼痛的评估和预测可能具有挑战性,尤其是在重症监护病房接受治疗的无意识患者中。诊断、评估和治疗通常采用主观措施和传统方法来确定最有效的治疗方法。然而,人工智能(AI)和其他计算机科学领域的最新进展彻底改变了医学领域,为加强疼痛管理提供了一条新颖且有前景的途径。本综述概述了人工智能在慢性疼痛诊断、评估和管理中的作用所带来的潜在益处、局限性和前景。