Research & Validation
Built on Science. Validated by Research.
Videra's AI platform is developed in collaboration with leading academic institutions and validated through rigorous peer-reviewed research.
150K+
Research Participants
50K+
Hours of Clinical Data
400K+
Training Samples
Multimodal Analysis
Our platform analyzes three complementary modalities to assess behavioral health.
Language Analysis
NLP models analyze transcribed speech to identify linguistic markers -absolutist language patterns, word complexity, sentiment, and phrases correlated with emotional distress.
Voice & Acoustic Analysis
Audio models extract acoustic features including speech rate, pause duration, pitch variation, and articulation patterns -vocal biomarkers correlated with depression, anxiety, and PTSD.
Facial & Video Analysis
Computer vision models analyze facial movements, microexpressions, and affective states -providing insights into emotional regulation and movement disorder symptoms.
Validated Clinical Models
Rigorously developed and validated on independent test sets.
| Model | Clinical Application | AUC | Modality |
|---|---|---|---|
| PHQ-V | Depression Screening | 0.88-0.90 | Text/Audio |
| GAD-V | Anxiety Screening | 0.90 | Text/Audio |
| PCL-V | PTSD Screening | 0.85-0.90 | Text/Audio |
| EPDS-V | Postpartum Depression | 0.89 | Text/Audio |
| TD Detection | Tardive Dyskinesia | 0.87-0.92 | Video |
All models validated on independent test sets. Detailed model cards available upon request.
Videra Health Publications
Peer-reviewed research from our team.
Multimodal Machine Learning for Video-Based Single Question Mental Health Assessment
Grimm, B., Yilmam, P., Talbot, B., Larsen, L.
npj Digital Medicine • 2025
Detecting Tardive Dyskinesia Using Video-Based Artificial Intelligence
Sterns, A., Hughes, J., Grimm, B., Larsen, L., Ma, F., Ranjan, R., MacMillan, C., Talbot, B., Friedman, J., Muir, O.
Journal of Clinical Psychiatry • 2023
Developing Video-Based Versions of Common Screening Instruments (PHQ-V, GAD-V)
Talbot, B., Larsen, L., Grimm, B., et al.
Applied Sciences (MDPI) • 2022
Scientific Leadership
Guided by world-class experts in psychiatry, AI, and digital health.
Brett Talbot, PhD Co-Founder & Chief Clinical Officer
Creator of PHQ-V, GAD-V, and PCL-V assessments. Published researcher in AI-driven clinical assessments with expertise in health service psychology.
Brad Grimm Principal Machine Learning Engineer
Leads ML methodology, data analysis, and model training. Co-author on multimodal machine learning research published in npj Digital Medicine.
Owen Muir, MD, DFAACAP Scientific Advisor
Dual board-certified psychiatrist and Distinguished Fellow of AACAP. International speaker and author focusing on AI diagnostics and treatment-resistant conditions.
Amir Kalali, MD Board of Directors
Professor of Psychiatry at UC San Diego. Founder of CNS Summit. 250+ peer-reviewed publications. Former head of Neuroscience at IQVIA.
Academic Partners
Collaborating with leading research institutions worldwide.
Interested in Research Collaboration?
We partner with academic institutions, life sciences companies, and healthcare organizations on cutting-edge behavioral health research.