Learning from Machine Learning: Advancing from Static Images to Dynamic Video-Based Quantification of Facial Palsy
We report high relative accuracy of dynamic FP quantification through Python-OS, improving the clinical utility of AI-aided FP assessment.
Authors
- Sandhya Kalavacherla (ORCID: https://orcid.org/0000-0003-0485-9042)
- Morgan E. Davis (ORCID: https://orcid.org/0000-0001-9508-9316)
- Jacqueline J. Greene (ORCID: https://orcid.org/0000-0003-4889-1052)
Institutions
- University of San Diego (US)
- University of California San Diego (US)
Publication Details
- Journal
- Facial Plastic Surgery & Aesthetic Medicine
- Published
- 2025-06-21
- DOI
- https://doi.org/10.1089/fpsam.2024.0381
- Citations
- 2
- Primary Topic
- Facial Nerve Paralysis Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 2.78