Qualitative Health datasets in 4 main steps
Preparing and delivering enriched, qualitative and legally exploitable datasets for healthcare innovation
1/ Data Structuration
Valorizing health data produced in health institutions is a win-win partnership for improving long term patient outcomes.
Learn More2/ Data Enrichment
Using AI methologies is key for extracting, indexing and valorizing non-structured data from different medical data sources.
Learn More3/ Ultra-Fast research
Leveraging health data requires the datasets to perfectly fit the usecases requirements: anatomy, exam type, pathologies, etc.
Learn More4/ Dataset valorization
Secured, exclusive and fast environment for datasets delivery to extract efficently the most valuable results.
Learn MoreEnriched Datasets
Ready to train/test/validate your AI algorithms
Representative
Multi-source to reduce biases from hardware type or geographical specifities
Anonymized
Easy to handle datasets with no link possible to patients
Partner Radiologist
Ex-AP-HP
MedTech Entrepreneur
Ex-Moon Surgical
Senior Software Engineer
7 years of platform dev.