Noor Ul Sabbah2025-09-102025-09-102025-07-07https://research.superior.edu.pk/handle/123456789/927Objective: This study investigates the relationship between facial indicators and psychological distress—specifically stress and anxiety—among dental students and professionals. By combining traditional self-report questionnaires with facial profiling techniques, we aimed to determine whether facial features could serve as reliable biomarkers for mental health assessment. Methods: A cross-sectional study was conducted with dental students and professionals who completed a stress and anxiety questionnaire and submitted neutral facial images. Facial metrics, including Action Units (AUs) and asymmetry indices, were extracted using OpenFace API. Statistical analyses included Pearson correlations to examine associations between facial features and self-reported stress and anxiety scores. Results: Significant correlations were observed between specific facial features (e.g., brow tension, facial asymmetry) and higher stress and anxiety scores. Participants with elevated stress levels exhibited more pronounced AU4 (brow lowering), while those with anxiety showed greater facial asymmetry. These findings suggest that facial profiling can effectively complement traditional psychological assessments. Conclusion: Facial profiling offers a non-invasive, scalable method for detecting stress and anxiety, particularly in high-pressure academic and professional environments like dentistry. Integrating this technology with self-report tools could enhance early identification and intervention for mental health concerns. Keywords: facial profiling, stress, anxiety, dental students, OpenFace, Action Units, mental health screening