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

1. maj 2026 opdateret af: Ali Noureldin Elsayed, Cairo University
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.

Studieoversigt

Status

Ikke rekrutterer endnu

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

Participants with unilateral Bell's palsy will be recruited for a single assessment session. The assessment involves two primary components:

Clinical Assessment: A qualified physical therapist will grade the patient's facial function using the Sunnybrook Facial Grading System, which evaluates resting symmetry, degree of voluntary movement, and synkinesis.

AI Assessment: A computer-vision-based system will utilize a standard camera to detect 468 facial landmarks in real-time. The system calculates a composite asymmetry score by comparing the movement amplitude and positioning of the affected side of the face against the healthy side during standardized facial expressions.

The study will utilize Spearman's rank correlation coefficient to analyze the relationship between the AI-derived scores and the Sunnybrook scores to establish concurrent validity. No personal images or videos will be stored; the AI performs real-time processing and immediate data deletion to ensure participant privacy.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

63

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

  • Navn: Ali Noureldin Hassanein, B.Sc., PT.
  • Telefonnummer: +201142154162
  • E-mail: alionour22@gmail.com

Studiesteder

  • Egypten
    • Giza Governorate
      • Giza, Giza Governorate, Egypten, 12613
        • Faculty of physical therapy, Cairo University
        • Kontakt:
        • Ledende efterforsker:
          • Ali Noureldin Hassanein, B.Sc.

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Sixty-three patients of both sexes with unilateral Bell's palsy will be recruited from private clinics. Patients will be diagnosed by a neurologist based on clinical examination.

Beskrivelse

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.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Patients with Unilateral Bell's Palsy
Sixty-three patients of both sexes, aged 25-40 years, with a body mass index (BMI) less than 30 $kg/m^2$. Participants must be within one month of the onset of Bell's palsy symptoms and be able to follow verbal instructions during facial movement tasks.
Andet: Sunnybrook Facial Grading System (FGS)
Clinical grading of facial muscle paralysis based on resting symmetry, symmetry of voluntary movements, and synkinesis detection.
Andet: AI-Based Facial Assessment
Real-time computer vision analysis using deep-learning-based landmark detection to track 468 facial points during standardized facial expressions.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Spearman's Rank Correlation Coefficient between AI-derived scores and Sunnybrook Facial Grading System scores.
Tidsramme: Baseline (single assessment at the time of enrollment).
This measure evaluates the concurrent validity of the AI-based assessment system. The AI system uses 468 facial landmarks to calculate a composite asymmetry score (0-100%). These results will be correlated with the clinical scores from the Sunnybrook Facial Grading System (0-100), where higher scores indicate better facial function.
Baseline (single assessment at the time of enrollment).

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
AI-Based Composite Asymmetry Score.
Tidsramme: Baseline.
The specific numerical output generated by the computer-vision system. It quantifies facial symmetry by measuring the amplitude of movement (in pixels/displacement) during five standardized facial expressions: brow lift, eye closure, broad smile, snarl, and lip pucker.
Baseline.

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Cairo University

Efterforskere

  • Ledende efterforsker: Ali Noureldin Hassanein, B.Sc., Cairo University

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

1. juni 2026

Primær færdiggørelse (Anslået)

1. oktober 2026

Studieafslutning (Anslået)

1. december 2026

Datoer for studieregistrering

Først indsendt

1. maj 2026

Først indsendt, der opfyldte QC-kriterier

1. maj 2026

Først opslået (Faktiske)

7. maj 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

7. maj 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

1. maj 2026

Sidst verificeret

1. maj 2026

Mere information

Begreber relateret til denne undersøgelse

Nøgleord

Yderligere relevante MeSH-vilkår

Andre undersøgelses-id-numre

  • P.T.REC/012/006311

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

To maintain participant confidentiality and privacy. The AI system processes facial landmarks in real-time, and no individual images or raw biometric data are stored for future distribution

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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Ingen

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

Kliniske forsøg med Sunnybrook Facial Grading System (FGS)

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