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Invited Commentary: Transforming Occupational Therapy Research With Artificial Intelligence.

Rachel Wolpert1, Sook-Lei Liew2, Kristen Pickett3

  • 1University of Missouri, Columbia, USA.

OTJR : Occupation, Participation and Health
|July 14, 2026
PubMed
Summary

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Artificial intelligence (AI) is increasingly used in occupational therapy research. This commentary reviews AI applications, discusses lessons learned, and offers recommendations for high-quality evidence generation in the field.

Area of Science:

  • Occupational therapy
  • Health informatics
  • Artificial intelligence

Background:

  • The integration of artificial intelligence (AI) into occupational therapy is expanding.
  • While AI in practice and education is documented, its role in research requires critical examination.
  • This commentary focuses on the application of AI within occupational therapy research.

Purpose of the Study:

  • To highlight recent occupational therapy research utilizing AI and algorithms.
  • To discuss lessons learned from current AI applications in the field.
  • To provide recommendations for advancing AI in occupational therapy research.

Main Methods:

  • Review of recent occupational therapy research employing AI.
  • Discussion of challenges and considerations for AI implementation.
Keywords:
information disseminationoccupationtechnology transfer

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  • Formulation of recommendations for researchers and the occupational therapy field.

    • Main Results:

    • AI offers significant potential for enhancing occupational therapy research.
    • Key considerations include ensuring data quality, ethical use, and methodological rigor.
    • Best practices are essential for producing high-quality, evidence-based occupational therapy research.

    Conclusions:

    • Occupational therapy must strategically reflect on and integrate AI into its research endeavors.
    • Adherence to best practices will ensure the generation of robust evidence.
    • Future research should focus on maximizing AI's benefits while mitigating potential risks.