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An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
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Introduction of AI Technology for Objective Physical Function Assessment.

Nobuji Kouno1,2,3, Satoshi Takahashi1,2, Masaaki Komatsu1,2

  • 1Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.

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Summary

Artificial intelligence (AI) can predict physical function scores using patient data from videos, sensors, or electronic health records, improving objective assessments. This technology enables early intervention by detecting subtle changes in patient physical function.

Keywords:
grip strengthmachine learningobjective physical function assessmentshort physical performance batterytimed up and gowalking speed

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Area of Science:

  • Biomedical Engineering
  • Clinical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Objective physical function assessment is vital for treatment decisions but current methods lack standardization.
  • Performance status assessments are widely used but not well-standardized in clinical practice.

Purpose of the Study:

  • To explore the application of artificial intelligence (AI) in predicting physical function scores.
  • To review methods for objective physical function measurement using AI technology.

Main Methods:

  • Systematic review of English-language articles retrieved from PubMed.
  • Inclusion of studies using AI to predict physical function from video, sensor, or electronic health record data.
  • Exclusion of studies solely automating traditional evaluations.

Main Results:

  • AI can predict physical function indices from diverse patient data sources, eliminating manual measurements.
  • AI-driven assessments offer objective and standardized measures of physical function.
  • Studies demonstrate AI's potential to replace subjective performance status evaluations.

Conclusions:

  • AI technologies are recommended for future clinical systems to perform repeated, objective physical function assessments.
  • These AI tools can be integrated without additional time, personnel, or resources.
  • Early detection of minimal changes in physical function through AI enables timely intervention and improved patient outcomes.