AI-Driven Programs for Non-specific Chronic Neck Pain

Brief summary (from the registry)

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 offer…

Study details

Official title

Efficacy of AI-Driven Program and Traditional Physical Therapy Program in Patients With Non-Specific Chronic Neck Pain

Conditions

• Non-specific Chronic Neck Pain

Interventions

• Device: Pressure Biobfeedback
• Device: Hot Pack

Sponsor

Cairo University

Start date

2026-01-10

Primary completion

2026-04-10

Sex

All

Age range

from 18 Years to 35 Years

Results posted

No results posted in this snapshot

Countries

Egypt

Total sites listed

1

Eligibility criteria