Artificial Intelligence in rehabilitation: A narrative review on advancing patient care

Q3 Medicine

Rehabilitacion Pub Date : 2025-04-01 DOI:10.1016/j.rh.2025.100911

A. Alshami , A. Nashwan , A. AlDardour , A. Qusini

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引用次数: 0

Abstract

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.

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人工智能在康复中的应用：对推进患者护理的述评

人工智能（AI）通过实现数据驱动、个性化和有效的患者护理，正在彻底改变康复。人工智能系统分析模式，预测结果，并根据个人需求调整治疗方法，使临床医生能够提供更有针对性和响应性的干预措施。本文探讨了人工智能在康复中的作用，重点介绍了人工智能在个性化护理、预后预测和患者实时监测方面的应用。当前文献的证据强调了人工智能如何通过促进更强大的治疗联盟和促进对治疗计划的依从性来提高患者满意度、参与度和临床结果。然而，仍然存在重大挑战，包括数据隐私问题、临床医生培训差距和技术获取方面的差距。解决这些障碍对于优化人工智能的采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。通过将人工智能融入日常实践，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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Rehabilitacion Medicine-Rehabilitation

CiteScore

0.80

自引率

0.00%

发文量

期刊介绍： La revista que es desde hace más de 40 años la publicación oficial de la Sociedad Española de Rehabilitación y referente de la mayoría de las Sociedades de la Especialidad de los países americanos de habla hispana. Se publican 5 números pluritemáticos al año y uno monográfico sobre un tema del mayor interés y actualidad designado por el consejo de redacción.