medDARE provides secured and anonymized medical image and video datasets, along with data curation services, to support healthcare AI projects. The company addresses the need for high-quality, compliant medical data by leveraging a network of hospital sites and a team of experienced professionals to ensure data integrity and regulatory adherence.
Funding
Funding not disclosed
Founders
Product
Problem
Developing healthcare AI requires large, high-quality medical image and video datasets, but obtaining these datasets while adhering to stringent data privacy regulations is a significant challenge. Existing medical data is often poorly curated, inadequately anonymized, and difficult to access, hindering AI development and deployment.
Solution
medDARE provides secured and anonymized medical image and video datasets, along with comprehensive data curation services, to accelerate healthcare AI development. The company leverages a network of hospital sites in the US and Europe to collect diverse data, including CT, MRI, and X-ray scans, as well as videos from operating rooms and various surgeries. medDARE's team of radiologists and data scientists ensures data quality through labeling, contouring, 2D and 3D modeling, and rigorous quality assurance processes. To comply with GDPR and HIPAA, medDARE employs both commercial and proprietary software for data anonymization, storing data securely on EU-based servers.
Target Audience
medDARE's primary customers are healthcare AI startups and Fortune 500 companies developing AI solutions for medical imaging, diagnostics, and treatment planning.
Features
- Access to over 2,000,000 patient studies across various modalities and pathologies.
- Retrospective data and prospective data collection tailored to specific technical requirements.
- Radiologist-led data curation services, including labeling, contouring, and 2D/3D modeling.
- Image and video data anonymization using commercial and proprietary software, ensuring GDPR and HIPAA compliance.
- Secure data storage on EU-based servers with end-to-end encryption.
- Project audit, database creation, and development of instructions for data curation projects.