Prospective clinical trial of the impact of an artificial intelligence embedded mobile app on patients with spinal musculoskeletal disorders.

Clinical trial of the effectivness of an artificial intelligence embedded mobile app to manage spinal musculoskeletal disorders.

Status

Active, not recruiting

Phases

Phase 1

Study type

Interventional

Source

ChiCTR

Registry ID

ChiCTR-IIR-17011574

Enrollment

Unknown

Registered

1990-01-01

Start date

2017-08-01

Completion date

Unknown

Last updated

2017-06-12

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

Conditions

Chronic low back pain

Interventions

Experimental group:AI guided rehabilitation exercise.

Control:Routine physiotherapy care

Eligibility

Sex/Gender

Male

Age

18 Years to 50 Years

Inclusion criteria

Inclusion criteria: 1. Diagnosed for chronic neck and back pain. 2. Age between 18-50 3. Experience neck and back pain for over 1 month

Exclusion criteria

Exclusion criteria: 1. History psychological disorder or the use of antipsychotic medications. 2. People with nerve damage and neurological disorder. 3. No severe cognitive impairment (assessed by Mini-Mental State Examination)

Design outcomes

Primary

Measure	Time frame
Quality of Life;	—

Secondary

Measure	Time frame
Numerical pain rating scale;Oswetry disability index;Roland-Morris disability questionnaire;Adherence in rehabilitation programme;Self-perceived global improvement;Transverse abdominis morphology;Multifidus morphology;Trunk muscles EMG activity;Trunk strengths dynamometer tests;Muscle mechanical properties;	—

Countries

China

Contacts

Public ContactWai Leung Ambrose Lo

The First Affiliated Hospital, Sun Yat-sen University.

ambroselo0726@outlook.com+86 13288604921

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026