Actively Recruiting

Phase Not Applicable
Age: 18Years - 25Years
All Genders
Healthy Volunteers
ID06508294

Investigation of 8-Week Artificial Intelligence Based Structured Exercise Program in Healthy Adults

Led by Hacettepe University · Updated on 2025-03-13

36

Participants Needed

1

Research Sites

4 weeks

Total Duration

On this page

Sponsors

H

Hacettepe University

Lead Sponsor

G

Gulhane Training and Research Hospital

Collaborating Sponsor

AI-Summary

What this Trial Is About

This research aims to examine the effects of an 8-week artificial intelligence-based structured exercise program on posture in healthy adults aged 18 to 25 years. Posture is the arrangement of body parts relative to each other, influenced by gravity, muscle tension, and bone structure. The study focuses on common posture disorders in young adults and uses measurements like the craniovertebral angle, thoracic kyphosis, and lumbar lordosis to assess changes. Participants will be randomly assigned to one of two groups. One group will perform exercises guided by an artificial intelligence application called "Musclewiki" alongside a physiotherapist, practicing three times a week for 8 weeks. The other group will not perform any exercise during this period. Posture measurements will be taken before and after the 8-week program using a mobile app to evaluate angles related to head, shoulder, and spine alignment. During the study, participants will have posture assessments using frontal and lateral images analyzed by the Posture Screen Mobile app. The primary outcome is the change in craniovertebral angle after 8 weeks. Secondary outcomes include changes in thoracic kyphosis and lumbar lordosis angles. The study will monitor participants throughout the 8-week period, with evaluations before and after the intervention to understand the exercise program's impact on posture.

CONDITIONS

Brief Title

8-Week Artificial Intelligence Based Structured Exercises

Who Can Participate

Age: 18Years - 25Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Having a smartphone
  • Volunteering to participate in the study
  • Age between 18 and 25 years
  • Healthy adults without spine disorders
Not Eligible

You will not qualify if you...

  • Having neurological, orthopedic, or rheumatologic problems affecting the spine
  • History of cancer affecting the spine
  • History of any trauma to the spine in the last 6 months
  • Vision or hearing problems that may affect use of artificial intelligence applications

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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2
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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Treatment

Duration - 8 weeks

Participants perform an 8-week artificial intelligence-based structured exercise program at home, practicing exercises 3 times a week with physiotherapist support through AI. The control group is evaluated without exercise intervention.

1 baseline visit and 1 follow-up visit

Trial Site Locations

Total: 1 location

1

University of Health Science

Ankara, Kecioren, Turkey (Türkiye), 06018

Actively Recruiting

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Research Team

T

Tezel Y Şahan, phD

How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

SUPPORTIVE_CARE

Number of Arms

2

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Frequently Asked Questions

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Published Research Related To This Trial

The effect of adding forward head posture corrective exercises in the management of lumbosacral radiculopathy: a randomized controlled study.

Ibrahim M Moustafa, Aliaa A Diab

https://pubmed.ncbi.nlm.nih.gov/25704221

Effect of improved thoracic kyphosis on forward shoulder posture after mobilization in individuals with thoracic hyperkyphosis.

Sung-Hoon Jung, Ui-Jae Hwang, Jun-Hee Kim...

https://pubmed.ncbi.nlm.nih.gov/35763888

The effect of various therapeutic exercises on forward head posture, rounded shoulder, and hyperkyphosis among people with upper crossed syndrome: a systematic review and meta-analysis.

Simin Sepehri, Rahman Sheikhhoseini, Hashem Piri...

https://pubmed.ncbi.nlm.nih.gov/38302926