AiAiHealthcare.github.io
importeddata/aiaihealthcare-github-io
AiAi code-charity project for Cancer and Tuberculosis screening in Radiology Chest X-Rays (PA - CXR) using Deep Learning powered CAD algorithms. Come join our all-volunteer team to improve the…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- AiAiHealthcare
- Country
- unknown
- Homepage
- AiAi.care/
- Documentation
- unknown
- Tags
- aiai · artificial-intelligence · cad · cancer · chest-xray · computer-aided-detection · deep-learning · dicom · fda · fhir · hipaa · hl7 · pacs · radiologist · radiology · ris · teleradiology · tuberculosis
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ProjectAiAidicom · fda · radiologist · radiology · teleradiology · tuberculosis
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved,…
- pacs-ris-crawlerdicom · pacs · ris
Search the PACS and RIS
- dicomasterdicom · fhir · hipaa · radiology
Secure, High-performance DICOM anonymization and metadata extraction for research and healthcare.
- Tuberculosis_recognitionchest-xray · tuberculosis
PyTorch TB chest X-ray classifier with a live demo and dataset artifact audit.
- dicom-hl7-mcp-serverdicom · fhir · hl7 · pacs
DICOM/HL7 healthcare interoperability MCP server for Claude
- Thyroid-Nodule-AIartificial-intelligence · cad
Deep Learning pipeline for thyroid nodule diagnosis in ultrasound. Benchmarks CNNs vs. Vision Transformers (YOLOv12, DINOv3) on a 7k+ dataset. Features a two-stage approach (Detection +…
- api.github.com/repos/AiAiHealthcare/AiAiHealthcare.github.ioretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-07-15, 10 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as AGPL-3.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/25.json→ .entries["aiaihealthcare-github-io"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.