Not_yet_recruitingNCT07573358

Validation of Artificial Intelligence-Based Facial Paralysis Assessment in Patients With Bell's Palsy

Sponsor: Cairo University

Trial Details

ConditionBell's Palsy, Facial Nerve Paralysis
InterventionSunnybrook Facial Grading System (FGS); AI-Based Facial Assessment
StatusNot_yet_recruiting
Participants63
Est. Completion1 Oct 2026
Last Updated7 May 2026

Primary Outcome

Spearman's Rank Correlation Coefficient between AI-derived scores and Sunnybrook Facial Grading System scores.

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Patients with unilateral Bell's palsy. * Patients must be within one month of onset of Bell's palsy symptoms at the time of enrollment. * Body mass index (BMI) less than 30 $kg/m\^2$. * Patients must be cooperative and able to follow simple verbal instructions during facial movement tasks. Exclusion Criteria: * Bilateral facial paralysis or recurrent Bell's palsy. * Facial nerve palsy due to known secondary causes (e.g., trauma, neoplasm, infection, stroke, Ramsay Hunt syndrome, or otitis media). * Facial deformities, scars, or burns that interfere with facial motion detection. * Uncooperative or cognitively impaired individuals unable to follow instructions or maintain required facial postures.

Trial Sites

Countries

Egypt
View Registry Entry

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service