Long-term effects of deep-learning digital therapeutics on pain, movement control, and preliminary cost-effectiveness in low back pain: A randomized controlled trial.

Journal: Digital health
Published Date:

Abstract

OBJECTIVE: The present study aimed to compare the effects of a deep learning-based digital application with digital application physical therapy (DPT) and those of conventional physical therapy (CPT) on back pain intensity, limited functional ability, lower extremity weakness, radicular symptoms, limited range of motion (ROM), functional movement, quality of life, cost-effectiveness, and postintervention questionnaires for perceived transmission risk of COVID-19 and satisfaction results in 100 participants with low back pain (LBP).

Authors

  • Chanhee Park
    Sports(Movement Artificial-Intelligence Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju, Republic of Korea.
  • Chunghwi Yi
    Department of Physical Therapy, Yonsei University, Wonju, Republic of Korea.
  • Woochol Joseph Choi
    Department of Physical Therapy, Yonsei University, Wonju, Republic of Korea.
  • Hyo-Sang Lim
    Division of Software, Yonsei University, Wonju, Republic of Korea.
  • Han Ul Yoon
    Division of Computer and Telecommunication Engineering, Yonsei University, Wonju, Republic of Korea.
  • Sung Joshua Hyun You
    Sports(Movement Artificial-Intelligence Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju, Republic of Korea.

Keywords

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