radiology-swarm
importedsoftware/radiology-swarm
A powerful, enterprise-grade multi-agent system for advanced radiological analysis, diagnosis, and treatment planning. This system leverages specialized AI agents working in concert to provide…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- The-Swarm-Corporation
- Country
- unknown
- Homepage
- swarms.ai/
- Documentation
- unknown
- Tags
- ai · epic · healthcare · healthcare-data · medicine-applications · ml · radiology · radiology-imaging
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Emory-BMI-GSoCradiology · radiology-imaging
Emory BMI GSoC Project Ideas
- Open-MAI-Dx-Orchestratorepic · ml
An open source implementation of the paper: "Sequential Diagnosis with Language Models" From Microsoft Built with Swarms Framework
- medicare_cclf_connectorhealthcare · healthcare-data
This connector is a dbt project that maps Medicare CCLF claims data to the Tuva Input Layer.
- ml-drug-discoverymedicine-applications
The official repository for the book "Machine Learning for Drug Discovery" (Manning Publications)
- chartfoldepic
Patient-facing tool for consolidating personal health data from multiple EHR systems into a single SQLite database
- demohealthcare · healthcare-data
A starter dbt project and synthetic claims dataset for trying out the Tuva Project.
- api.github.com/repos/The-Swarm-Corporation/radiology-swarmretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-10-13, 18 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/44.json→ .entries["radiology-swarm"]
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