APS
2025 APS Annual Convention · 2025
Pain-Related Facial Expression: Evaluating Artificial Intelligence Software Pain Quantification
Session: Poster Session IX
Authors
- Ruth MosunmadePresenting Author
National Center for Complementary and Integrative Health; National Institutes of Health - Troy Dildine
Stanford - Troy Dildine
Affective Neuroscience and Pain - Jolyna Chiangong
Affective Neuroscience and Pain - Xue Davis
Affective Neuroscience and Pain - Lauren Atlas
National Institutes of Health
Abstract
We used an algorithm relating facial movements to pain and the Prkachin Solomon Pain Intensity metric to measure Painful-Not Painful expressions and influential sociodemographic factors. For 95 individuals (58 female, 37 male), we observed a significant main effect of Pain, indicating algorithmic utility in recognizing facial pain expressions.
Other
