Screening for dental pain using an automated face coding (AFC) software
The study explored the potential of AFC software in analyzing facial expressions for applications in screening and diagnosis of dental problems especially in non-communicative geriatric patients. While effective in monitoring facial movements, the software's current limitations in detecting pain-specific changes underscore the need for further advancements.
Authors
- Angela Stillhart
- Murali Srinivasan (ORCID: https://orcid.org/0000-0003-3365-576X)
- Bernd Stadlinger (ORCID: https://orcid.org/0000-0001-5044-7052)
- Rahel Häfliger
- Cláudio Rodrigues Leles (ORCID: https://orcid.org/0000-0002-6812-4849)
- Lisa Takeshita (ORCID: https://orcid.org/0000-0001-5612-2451)
Institutions
- University of Zurich (CH)
- Universidade Federal de Goiás (BR)
Publication Details
- Journal
- Journal of Dentistry
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1016/j.jdent.2025.105647
- Citations
- 3
- Primary Topic
- Dental Anxiety and Anesthesia Techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.37