Validation of Artificial Intelligence-Based Facial Paralysis Assessment in Patients With Bell's Palsy
Sponsor: Cairo University
Trial Details
| Condition | Bell's Palsy, Facial Nerve Paralysis |
| Intervention | Sunnybrook Facial Grading System (FGS); AI-Based Facial Assessment |
| Status | Not_yet_recruiting |
| Participants | 63 |
| Est. Completion | 1 Oct 2026 |
| Last Updated | 7 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
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