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NCT Number: NCT07672704

AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases

This study aims to examine the effects of an AI-based mobile application delivering Tai Chi and Baduanjin exercises on balance and fall risk in adults with chronic diseases.

Participants will be randomly assigned to Tai Chi, Baduanjin, or a control group over a 12-week period. The AI application will provide exercise guidance and basic feedback.

Outcomes will focus on balance and, fall risk, along with user interaction with the technology.

The results are expected to support the use of AI-assisted exercise programs in improving balance and reducing fall risk in individuals with chronic conditions.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Faculty of Nursing, Alexandria University

Alexandria, 21511, Egypt

Location contact

Mohamed Fakhry Ahmed Salem, PhD Medical-Surgical Nursing

CONTACT

[email protected]

01286038014

Mohamed Fakhry Ahmed Salem, PhD in Medical-Surgical Nursin

PRINCIPAL_INVESTIGATOR

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults
  • Individuals with one or more health conditions relevant to the study
  • Able to participate in physical activity
  • Able to understand study instructions
  • Willing to provide informed consent

Exclusion criteria

  • - Any condition that may limit safe participation in the study
  • Any medical or other issue that may interfere with study procedures, as determined by the research team

Treatment and study plan

Tai Chi Exercise Program

Behavioral

Participants will perform Tai Chi exercises guided by an AI-based mobile application. The program includes structured exercise sessions aimed at improving balance and mobility, with basic feedback provided by the application.

Baduanjin Exercise Program

Behavioral

Participants will perform Baduanjin exercises guided by an AI-based mobile application. The program consists of structured movements designed to support balance and physical function, with feedback delivered through the application.

Primary outcomes

  1. Balance Performance (Mini-BESTest Score)

    Time frame: Baseline and Week 12

    Balance will be assessed using the Mini-Balance Evaluation Systems Test (Mini-BESTest), a performance-based clinical scale measuring dynamic balance and postural control. Scores range from 0 to 28, with higher scores indicating better balance.

  2. Fall Risk (Timed Up and Go Test Time)

    Time frame: Baseline and Week 12

    Fall risk will be assessed using the Timed Up and Go (TUG) test, measured in seconds. Lower time indicates better functional mobility and lower risk of falls.

Secondary outcomes

  1. Technology Acceptance

    Time frame: Week 12

    User acceptance of the AI-based intervention will be evaluated using a structured questionnaire.

  2. Participant Experience (Qualitative Feedback)

    Time frame: Post-intervention after 12 weeks

    Assessed using open-ended questions to explore participant experiences with the intervention.

Study contacts

Contact information is provided by the study sponsor or research team.

Mohamed Fakhry Ahmed Salem, PhD

CONTACT

[email protected]

+201286038014

Sponsors and collaborators

Lead sponsor

Alexandria University

Other

Registry information

Official study title

Comparative Effects of an AI-Based Mobile Application Delivering Tai Chi and Baduanjin on Balance and Fall Risk in Adults With Chronic Diseases: A Randomized Controlled Trial

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jun 29, 2026
Registry last updated
Jun 29, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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