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A Study to evaluate the Effect of AI-based posture assessment and personalized physiotherapy treatment on neck pain and daily activities in desk job workers.

Effectiveness of AI-Driven Postural Screening and Tailored Physiotherapy on Neck Pain and Disability in Sedentary Workers: A Pre Post Test Study. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2026/07/114006
Enrollment
34
Registered
2026-07-15
Start date
Unknown
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Health Condition 1: M953- Acquired deformity of neck

Interventions

Intervention1: NIL: NIL Intervention2: NOT APPLICABLE: NOT APPLICABLE Control Intervention1: NOT APPLICABLE: NOT APPLICABLE

Sponsors

DVVPFs College of Physiotherapy, Ahilyanagar
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Age-30-50 years. Working hours more than 6 hours/day. Sitting job, desk job, IT professionals. VAS Score - 4-7cm NDI Score - 15-34 (moderate to severe).

Exclusion criteria

Exclusion criteria: 1. History of any recent fractures, surgery or trauma to the spine, shoulder or upper quadrant (within last 6 months). 2. Any neurological conditions like stroke, cervical radiculopathy, neuropathies, balance issues. 3. Pregnant women. 4. Diagnosed with Ankylosing spondylitis, Rheumatoid arthritis. 5. Use of any assistive devices or orthosis.

Design outcomes

Primary

MeasureTime frame
Neck pain and disability, postureTimepoint: At Baseline, 3 weeks—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactGauri Govindji Darak

DVVPFs college of physiotherapy Ahilyanagar MAHARASHTRA 414111 India

deepak.anap@hotmail.com9890200972

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Aug 10, 2026