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A Scoping Review on Artificial Intelligence in Occupational Therapy.

Paolo Miguel P Bulan1,2, Dale Ashley Y Kuizon1, Rolette Sergs E Casaña1

  • 1Velez College, Cebu City, Philippines.

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Artificial intelligence (AI) enhances occupational therapy in rehabilitation and assessment. Strategic implementation is key to overcoming challenges like cost and training for AI integration.

Keywords:
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Area of Science:

  • Occupational therapy
  • Artificial intelligence
  • Rehabilitation technologies

Background:

  • Artificial intelligence (AI) integration in occupational therapy is growing.
  • Applications and challenges of AI in occupational therapy require further exploration.

Purpose of the Study:

  • To map AI applications in occupational therapy.
  • To identify benefits and challenges of AI in occupational therapy.
  • To inform occupational therapy practice and research.

Main Methods:

  • Scoping review following Arksey and O'Malley framework and PRISMA-ScR guidelines.
  • Systematic search of six databases (2015-2025).
  • Mixed inductive-deductive qualitative content analysis.

Main Results:

  • AI primarily applied in motor rehabilitation, functional assessment, assistive technology, and telerehabilitation.
  • Robotic therapy and machine learning assessments enhance precision and accessibility.
  • Key challenges include high costs, limited therapist training, and ethical concerns.

Conclusions:

  • AI presents significant advancements for occupational therapy.
  • Strategic implementation is necessary for effective AI integration.
  • Future research should focus on ethical considerations, therapist training, and broader AI applications.