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AI-Driven Programs for Non-specific Chronic Neck Pain

NCT07606729 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40

Last updated 2026-05-26

No results posted yet for this study

Summary

Non-specific chronic neck pain represents a major global health burden, affecting 30% to 50% of the general population. It is particularly prevalent among office workers, computer users, and women, with a notable rise in young adults aged 20 to 24. While acute episodes of neck pain may initially resolve, underlying functional impairments often persist, causing over a third of patients to develop chronic symptoms lasting three months or longer. Typically localized in the lateral and posterior neck regions without radicular signs, this condition is frequently driven by poor posture and improper ergonomics. The resulting abnormal stress on the cervical spine and musculature severely limits daily activities, lowers overall quality of life, and places a heavy socioeconomic strain on patients and their communities.

Traditional conservative management typically relies on a combination of pharmacotherapy and standard physical therapy modalities, including manual techniques, exercise programs, electrotherapy, and thermal agents. However, these conventional interventions demand frequent, in-person clinical visits, creating a significant financial and logistical barrier for many families, particularly under current economic challenges in Egypt. Consequently, there is an urgent need for cost-effective, highly accessible, and novel rehabilitation models that can streamline care and optimize clinical outcomes.

Artificial intelligence (AI) and machine learning offer a promising solution to these challenges by providing automated, data-driven remote care. Through mobile apps and smart rehabilitation platforms, AI can analyze complex clinical datasets-including patient demographics, pain intensity, and radiographic alignment-to predict treatment timelines and automate routine clinical tasks. Crucially, AI solves the problem of standardized, non-individualized home exercise plans by adjusting to a patient's daily symptom presentation, mimics a therapist's tailored approach, and offers real-time feedback. However, as these technologies advance, a clear gap remains in the physical therapy profession. Many clinicians lack a foundational understanding of AI fundamentals and harbor concerns about automation, highlighting an urgent need to evaluate physical therapists' perceptions and preparation to foster clinical trust and seamless integration.

Conditions

  • Non-specific Chronic Neck Pain

Interventions

DEVICE

Pressure Biobfeedback

Pressure biofeedback is a noninvasive technique that provides knowledge of performance through the hand held apparatus that can augment the patient's sensory feedback mechanism. In clinical practice, pressure biofeedback devices have primarily been used to test and train the deep neck flexor muscles to improve endurance

DEVICE

Hot Pack

used for warming up before exercises

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
35 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-10
Primary Completion
2026-04-10
Completion
2026-05-19

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07606729 on ClinicalTrials.gov