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Public TitleClinical Study on Machine Learning-assisted Grading Assessment of Facial Nerve Injury

A Clinical Research on Grading Assessment of Facial Nerve Injury Using Machine Learning Algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600129681
Enrollment
Unknown
Registered
2026-08-07
Start date
2026-08-15
Completion date
Unknown
Last updated
2026-08-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Idiopathic facial nerve palsy

Interventions

Gold Standard:House-Brackmann (H-B) Facial Paralysis Grading Scale
Index test:The machine learning-based grading model for facial nerve injury

Sponsors

Yantai Yuhuangding Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1.Patient group: Meeting clinical diagnostic criteria of peripheral facial paralysis; aged 18–70 years; capable of cooperating with frontal facial image acquisition; H-B scale grading (Grade I–V) completed by specialist physicians; voluntary participation with signed informed consent. 2.Healthy group: No history of facial paralysis, facial trauma, facial surgery or craniofacial deformities; basically symmetric facial appearance; capable of cooperating with image acquisition; voluntary participation with signed informed consent.

Exclusion criteria

Exclusion criteria: 1.Central facial palsy, facial tumors, severe infections, craniofacial deformities, or neuromuscular disorders. 2.Excessive head rotation, facial occlusion, noncooperative facial expression, or extremely poor lighting during image acquisition. 3.Poor image quality, unsuccessful facial landmark detection, or missing/unclear clinical grading annotations. 4.Cognitive impairment, psychiatric disorders, or unable to cooperate with the examination.

Design outcomes

Primary

MeasureTime frame
Diagnostic performance of machine learning-based grading model for facial nerve injury;Accuracy;

Secondary

MeasureTime frame
Sensitivity;Specificity;

Countries

China

Contacts

Public ContactWu Hongliang

Yantai Yuhuangding Hospital

honlion@outlook.com+86 535 6691999

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 25, 2026