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influence of artificial intelligence on correcting cross leg posture

Intervention of Cross-Leg Posture Syndrome Using Artificial Intelligence: Transitioning from Subjective to Algorithmic Postural Management"Randomized cross-over controlled trial

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
PACTR
Registry ID
PACTR202605847960429
Enrollment
34
Registered
2026-05-14
Start date
2026-02-26
Completion date
Unknown
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Musculoskeletal Diseases Orthopaedics

Interventions

Traditional training
AI application powerful to correct posture

Sponsors

Deraya university
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Age between 18 and 44 years. Sitting in a cross-legged posture for 215-30 minutes per session (Grade II-IV). Frequency of cross-legged sitting 23 times per day. Body Mass Index (BMI) between 18.5 and 30 kg/m². Positive neurodynamic test (Slump test and/or Straight Leg Raise test). Muscle strength on the affected side reduced by 20-30% compared to contralateral side. Restricted hip range of motion (extension, abduction, and internal rotation).

Exclusion criteria

Exclusion criteria: History of pelvic trauma or previous pelvic surgery. Any lower limb biomechanical disorder (congenital, traumatic, or pathological). Cross-legged sitting <3 times per day OR <10 minutes per session. Presence of other causes of symptoms (e.g., low back pain, sacroiliac joint pain, leg length discrepancy)

Design outcomes

Primary

MeasureTime frame
pain intensity, ROM, muscles power, neural integrity

Secondary

MeasureTime frame
Static Balance: Maintaining equilibrium while stationary. Dynamic Balance: Maintaining equilibrium while in motion. Quality of life improvement: The overall goal of enhancing these physical attributes.

Countries

Egypt

Contacts

Public ContactAhmad Fawzy

Lecturer in the Orthopedic Physiotherapy Department Faculty of Physiotherapy Deraya

ahmed.fawzy@deraya.edu.eg+201098365150

Outcome results

None listed

Source: PACTR (via WHO ICTRP) · Data processed: Sep 19, 2026