Validation of Artificial Intelligence-Based Facial Paralysis Assessment in Patients With Bell's Palsy
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age25-40
SponsorCairo University
About this trial
This observational study aims to assess the concurrent validity of an artificial intelligence (AI)-based facial paralysis assessment system in patients with unilateral Bell's palsy. Currently, clinical assessment relies on subjective scales like the Sunnybrook Facial Grading System, which can vary between different observers. This study will compare AI-generated composite asymmetry scores-derived from real-time computer vision analysis of facial landmarks-with scores from the Sunnybrook system. The goal is to determine if AI can provide a valid, objective method for monitoring facial nerve recovery.
Eligibility criteria
Qualifiers
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 $kg/m²$.
Patients must be cooperative and able to follow simple verbal instructions during facial movement tasks.
Disqualifiers
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 design
Treatments tested in this trial
- Sunnybrook Facial Grading System (FGS)
- AI-Based Facial Assessment
Treatment groups
63 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov