Alshami A, Nashwan A, AlDardour A, Qusini A
AMC Therapy Pediatrics, Outpatient, Al Wakra Hospital, Hamad Medical Corporation, Doha, Qatar.
Nursing & Midwifery Research Department (NMRD), Hamad Medical Corporation, Doha, Qatar; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Rehabilitacion (Madr). 2025 Apr-Jun;59(2):100911. doi: 10.1016/j.rh.2025.100911. Epub 2025 Apr 21.
Artificial Intelligence (AI) is revolutionizing rehabilitation by enabling data-driven, personalized, and effective patient care. AI systems analyze patterns, predict outcomes, and adapt treatments to individual needs, empowering clinicians to deliver more targeted and responsive interventions. This review explores AI's role in rehabilitation, focusing on its applications in personalized care, outcome prediction, and real-time patient monitoring. Evidence from current literature highlights how AI improves patient satisfaction, engagement, and clinical outcomes by fostering a stronger therapeutic alliance and promoting adherence to treatment plans. However, significant challenges remain, including data privacy concerns, clinician training gaps, and disparities in technology access. Addressing these barriers is essential to optimize AI adoption and fully realize its potential to enhance patient-centered care. By integrating AI into daily practice, rehabilitation professionals can deliver more efficient, individualized, and high-quality care, paving the way for transformative advancements in the field.
人工智能（AI）正在通过实现数据驱动、个性化且有效的患者护理，给康复领域带来变革。人工智能系统分析模式、预测结果，并根据个体需求调整治疗方案，使临床医生能够提供更具针对性和响应性的干预措施。本综述探讨了人工智能在康复中的作用，重点关注其在个性化护理、结果预测和实时患者监测方面的应用。当前文献的证据突出表明，人工智能通过建立更强的治疗联盟和促进对治疗计划的依从性，提高了患者满意度、参与度和临床效果。然而，重大挑战依然存在，包括数据隐私问题、临床医生培训差距以及技术获取方面的差异。解决这些障碍对于优化人工智能的应用并充分发挥其增强以患者为中心的护理的潜力至关重要。通过将人工智能整合到日常实践中，康复专业人员可以提供更高效、个性化和高质量的护理，为该领域的变革性进步铺平道路。
