The national repository for medical AI
dhub by TRUSTMAPS is a data-capturing portal where researchers and clinicians catalogue papers, datasets and AI models across healthcare — building one trusted, searchable national resource.
97
Entries
92
Datasets
5
Papers
0
AI Models
What you can submit
- Data — clinical datasets with modality, size, region & availability.
- Paper — research publications with links & citations.
- AI Model / Application — deployable models tagged to a research vertical.
Our four verticals
Privacy & SecurityFairness & AccountabilityInterpretability & ExplainabilityUncertainty & Hallucination Evaluation
Each entry can optionally be tagged to one or more verticals as the framework matures.
Recently added
- Paper MindEval: Benchmarking Language Models on Multi-turn Mental Health Support — Mental health conditions i.e. depressive and anxious symptoms (mild, moderate, severe)
- Data GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization — Depression (and general wellbeing)
- Data DAIC-WOZ (Distress Analysis Interview Corpus – Wizard of Oz) — Depression, PTSD, anxiety
- Data SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems — Stress
- Data CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts — Multiple mental health issues (depression, suicide, anxiety, etc.)