VitalMatch.ai
Multi-organ transplant research · v2

Donor data,
imaging, and outcomes
in one workspace.

VitalMatch is a project-scoped research platform for organ-donor screening — cohort browsing, configurable DICOM de-identification, a 2D/3D CT viewer, model training, and a Python SDK on top of the UNOS STAR registry.

Service healthy · GET /api/v2/health · v2.0.0

live
UNOS STAR Registry
14
Lung tables loaded
8,352
Donor CTs crosswalked
3D
Marching-cubes viewer
HIPAA
Safe-Harbor de-id
Architectural contract: STAR is a parallel tabular track. NLST (normal lung) imaging never row-joins to STAR (deceased donor) records.

What lives here

Everything a research team needs to take raw DICOM and a STAR release through cohort definition, training, and reproducible export.

Projects

Each research question gets its own container — subjects, scans, metadata, annotations stay project-scoped.

STAR registry

Donor lookup, recipient outcomes, cohort browse with filter, facet, and CSV/Excel/Parquet export.

Per-project membership

Reader / editor / admin roles with an immutable audit log of every action.

Configurable de-id

HIPAA Safe Harbor, Strict Research, or your own DICOM profile — per project.

CT viewer + 3D mesh

2D slice browser with window/level controls and a marching-cubes lung mesh for any scan.

Reports + Train AI

Project-scoped CSV/JSON/printable exports and binary-classifier training jobs.

Python SDK

pip install vitalmatch-sdk, mint a token, reach every endpoint from a notebook.

Surveillance

dd-cfDNA-style post-transplant monitoring scaffolding and recipient graft-health LLM tool.

Chat over STAR

LLM conversational layer with multi-tool registry access, persisted across sessions.

Data summaries

Registry briefs

36 aggregate analyses of the transplant registry and of public program data, from donor use and allocation to graft outcomes and survival. They are available to signed-in members of the research group.

Sign in to read them

Ready to explore?

Sign in to browse projects, search the STAR cohort, run a screening on a CT, or mint an SDK token for notebook access.