Faculty of Nursing, Alexandria University
Alexandria, 21511, Egypt
Location contact
Mohamed Fakhry Ahmed Salem, PhD Medical-Surgical Nursing
CONTACT
Mohamed Fakhry Ahmed Salem, PhD in Medical-Surgical Nursin
PRINCIPAL_INVESTIGATOR
NCT Number: NCT07672704
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.
Trial opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Alexandria, 21511, Egypt
Mohamed Fakhry Ahmed Salem, PhD Medical-Surgical Nursing
CONTACT
Mohamed Fakhry Ahmed Salem, PhD in Medical-Surgical Nursin
PRINCIPAL_INVESTIGATOR
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
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.
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.
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.
Time frame: Week 12
User acceptance of the AI-based intervention will be evaluated using a structured questionnaire.
Time frame: Post-intervention after 12 weeks
Assessed using open-ended questions to explore participant experiences with the intervention.
Contact information is provided by the study sponsor or research team.
Alexandria University
Other
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
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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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