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September 24, 2025Physical Therapy

On “Seeing Past the Event Horizon: A Framework for Integrating Artificial Intelligence and Machine Learning into Physical Therapy.” Morelli N. Phys Ther. 2025;105;pzae137. https://doi.org/10.1093/ptj/pzae137

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Authors

KDKelly DaleyJohns Hopkins University

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Implication

Framework integrates artificial intelligence and machine learning into physical therapy, suggesting improved patient outcomes.

Key Points

  • Integration of artificial intelligence shows potential for enhancing physical therapy practices and patient care.
  • The framework suggests that machine learning can be employed to personalize treatment plans in physical therapy.
  • The study provides a comprehensive approach to combining emerging technologies in a clinical setting.
  • This integration may optimize intervention strategies, ultimately benefiting patient rehabilitation outcomes.

Cite This Study

Kelly Daley (2025) studied this question.

synapsesocial.com/papers/68d6d8548b2b6861e4c3e69ehttps://doi.org/10.1093/ptj/pzaf118
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On “Current and Projected Future Supply and Demand for Physical Therapists from 2022 to 2037: A New Approach Using Microsimulation.” Zarek P, Ruttinger C, Armstrong D, Et al. <i>Phys Ther</i>. 2025 Mar 3;105(3):pzaf014. 10.1093/ptj/pzaf0142025 · 1 citations
  2. 2Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model2026
  3. 3Personalized Physiotherapy Using Artificial Intelligence in Rare Musculoskeletal Disorders: Literature Review2026
  4. 4The role of artificial intelligence in Physical Therapy education2024 · 5 citations
  5. 5AI-Powered Physiotherapy: A Personalized, Ethical, and Intelligent Rehabilitation Framework for the Posture-Disturbed Generation2025 · 1 citations