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

Journal: Rehabilitacion
PMID:

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.

Authors

  • A Alshami
    AMC Therapy Pediatrics, Outpatient, Al Wakra Hospital, Hamad Medical Corporation, Doha, Qatar. Electronic address: aalshami1@hamad.qa.
  • A Nashwan
    Nursing & Midwifery Research Department (NMRD), Hamad Medical Corporation, Doha, Qatar; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
  • A AlDardour
    Department of Physiotherapy, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar.
  • A Qusini
    Department of Rehabilitation, Jordan University of Science and Technology, Ar-Ramtha, Jordan.