# beamandrew/medical-data

Repository: https://github.com/beamandrew/medical-data
Canonical: https://ross.abutalabs.com/products/medical-data
License Family: other
Last push: 2023-11-19T22:52:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3747, "days_push": 1018, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6025, forks 1131 (observed 2026-08-28T04:09:34.359690+00:00)

## What it is
A curated list of medical datasets for machine learning, covering medical imaging (MRI, CT, retinal images), clinical, and genomic data with access links and registration requirements. It is an informational catalog rather than software.

## Use cases
- find medical imaging datasets for machine learning
- locate public MRI or CT scan datasets
- find annotated medical image databases for research
- source healthcare data for training ML models
- find datasets for brain or cardiac imaging analysis

## When to choose
- you need a starting point for discovering medical ML datasets
- you want a broad catalog of imaging, clinical, and genomic data sources

## When to avoid
- you need ready-to-download data rather than links and registration instructions
- you need software or tools rather than a dataset list

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, data-science
- domain: healthcare, machine-learning, data-science
- platform: cross-platform
- tags: medical-imaging, curated-list, awesome-list, healthcare-ai, datasets

## Member repositories
- beamandrew/medical-data (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.359690+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:49:15.062106+00:00, confidence not recorded.
  - readme: https://github.com/beamandrew/medical-data (fetched 2026-08-28T04:09:34.359690+00:00, sha 686606cb8dfb)
- Data as of 2026-08-30T08:39:29.467469+00:00.