TRUSTMAPS Presents
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.
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Entries
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Datasets
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Papers
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AI Models
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Metrics
What you can submit
Contribute to the national repository across four primary categories.
Data
Clinical datasets with modality, size, region & availability.
Paper
Research publications with links & citations.
AI Model
Deployable models tagged to a research vertical.
Metrics
Specific evaluation criteria and related paper/source code links.
Our four verticals
Each entry can optionally be tagged to one or more verticals as the framework matures.
Privacy & Security
Fairness & Accountability
Interpretability & Explainability
Uncertainty & Hallucination Evaluation
Recently added
- Paper Low-Cost High-Power Membership Inference Attack — General / Multiple
- Data prism-oncology/novae — Oncology
- Paper Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm — Oncology
- Paper Explainable AI and Large Language Model in Mental Health Support System
- Paper Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment — Mental Health