| Unique ID issued by UMIN | UMIN000062463 |
|---|---|
| Receipt number | R000071472 |
| Scientific Title | Development of a Rehabilitation Application for Facial Nerve Palsy and Validation of AI-Based Automated Assessment Against Specialist Assessment |
| Date of disclosure of the study information | 2026/08/04 |
| Last modified on | 2026/08/04 13:00:38 |
Development of a Rehabilitation Application for Facial Nerve Palsy and Validation of AI-Based Automated Assessment Against Specialist Assessment
AI-Facial palsy Rehabilitation Study
Development of a Rehabilitation Application for Facial Nerve Palsy and Validation of AI-Based Automated Assessment Against Specialist Assessment
AI-Facial palsy Rehabilitation study
| Japan |
Facial palsy
| Oto-rhino-laryngology |
Others
NO
This study aims to develop an AI algorithm for automated assessment of facial nerve palsy severity and pathological synkinesis using facial movement videos obtained from patients with facial nerve palsy and healthy participants. AI-generated assessment scores and synkinesis classifications will be compared with specialist assessments using the Yanagihara grading system, House-Brackmann grading system, and Sunnybrook Facial Grading System to evaluate correlation, agreement, and validity. The resulting algorithm will be used to develop an application that supports appropriate rehabilitation for patients with facial nerve palsy.
Others
Development and validation of an AI-based automated assessment algorithm and rehabilitation support application for facial nerve palsy
Confirmatory
Others
Not applicable
Correlation coefficients between AI-generated facial nerve palsy severity scores derived from facial movement videos and specialist assessment scores using the Yanagihara 40-point grading system, Sunnybrook Facial Grading System, and House-Brackmann grading system (Grades I-VI). Pearson's correlation coefficient or Spearman's rank correlation coefficient will be used as appropriate according to the data distribution. The target correlation coefficient is 0.8 or higher. The assessment time point is the time of facial movement video recording and specialist assessment for each participant.
To evaluate the agreement between AI-based classification of the presence and location of pathological synkinesis and specialist classification using the Sunnybrook Facial Grading System and related clinical assessments.
Observational
| 20 | years-old | <= |
| 80 | years-old | >= |
Male and Female
1. Patients with facial nerve palsy caused by Bell's palsy or Ramsay Hunt syndrome, or healthy participants with no history of facial nerve palsy
2. Participants aged 20 to 80 years at the time of informed consent
3. Participants who have received sufficient information about the study and provided written informed consent
1. Individuals with facial nerve palsy caused by conditions other than Bell's palsy or Ramsay Hunt syndrome
2. Individuals with marked facial deformities that may affect facial movement recording or assessment
3. Individuals who are unable to provide written informed consent or follow study instructions
4. Individuals considered unsuitable for participation by the principal investigator or other investigators
100
| 1st name | kenji |
| Middle name | |
| Last name | kondo |
The University of Tokyo Hospital
Department of Otolaryngology and Head and Neck Surgery
113-8655
7-3-1 Hongo, Bunkyo-ku, Tokyo
03-5800-8665
kondok@umin.ac.jp
| 1st name | junko |
| Middle name | |
| Last name | nakajima |
University of Toyama
Department of Otorhinolaryngology-Head and Neck Surgery
930-0194
2630 Sugitani, Toyama city, Toyama Prefecture
076-434-7368
jnkonkj@med.u-toyama.ac.jp
University of Tokyo
no funding source
Other
Research Ethics Committee of the Graduate School of Medicine and Faculty of Medicine, The University of Tokyo
Faculty of Medicine Building 2, 4th Floor 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
03-5841-0818
ethics@m.u-tokyo.ac.jp
NO
東京大学病院(東京都)、富山大学病院(富山県)
| 2026 | Year | 08 | Month | 04 | Day |
Unpublished
Open public recruiting
| 2026 | Year | 06 | Month | 02 | Day |
| 2026 | Year | 07 | Month | 10 | Day |
| 2026 | Year | 08 | Month | 03 | Day |
| 2029 | Year | 03 | Month | 31 | Day |
| 2029 | Year | 03 | Month | 31 | Day |
This is a multicenter, cross-sectional observational study conducted at The University of Tokyo Hospital and Toyama University Hospital. A total of 100 participants will be enrolled: 70 patients with facial nerve palsy caused by Bell's palsy or Ramsay Hunt syndrome and 30 healthy participants with no history of facial nerve palsy. Facial movement videos will be recorded while participants perform predefined facial expressions. Specialists will assess the videos using the Yanagihara grading system, House-Brackmann grading system, and Sunnybrook Facial Grading System. The same videos will be analyzed by AI to determine facial nerve palsy severity scores and the presence and location of pathological synkinesis. Correlation and agreement between the AI-based and specialist assessments will be evaluated. No study-specific treatment intervention or alteration of usual clinical care will be performed.
| 2026 | Year | 08 | Month | 04 | Day |
| 2026 | Year | 08 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071472