Evaluating the Impact of AI and Machine Learning Integration on Outpatient Physical Therapy Workflows and Decision-Making - A Scoping Review
Year: 2026
Type: study-registration
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) is becoming more common in physical therapy and can affect every aspect of practice. This study aims to explore how AI and ML are being used and their impact in outpatient physical therapy. AI has the potential to reshape the profession through clinical practice, research, and education (Reis et al, 2024). It can also introduce precise, efficient procedures that improve patient outcomes and recovery (Aldhahi et al., 2025). The pressure to provide value-based care is growing, and AI offers an opportunity for physical therapists (PTs) to elevate their expertise and clinical decision-making through augmented, evidence-based processes (Hao & Siu, 2026). Despite varied eagerness among PTs and healthcare organizations to adopt AI, Aldhahi et al. found that PTs generally held optimistic attitudes toward its implementation and were confident in its potential benefits in physical therapy.
Source: Open Science Framework
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225344263