A decade of research with over 10 000 participants forms the foundation for the computational models we use to clinically assess mental health.
Ongoing Research
Assessing Depression and Anxiety Using AI According to Longitudinal Expert All Data (LEAD).
Developing a framework with a multinational, interdisciplinary research team for how to best carry out and report a LEAD research study.
Identification of Depression by AI based on Word Responses Agree More with Structured M.I.N.I. Interviews by an Experienced Psychologist than Rating Scales.
Word Responses Reduce Incorrect Mental Health Diagnosis by Half Compared to Rating Scales Alone.
Multi-Language Models: Identifying Depression and Anxiety from Responses in English, Arabic and Swedish.
Precise Language Responses versus Easy Rating Scales – Comparing Clinicians’ and Respondents’ Views.
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