Medical Data Collection and Annotation for Healthcare AI

Access high-quality medical imaging datasets for AI training across multiple modalities. medDARE works with a network of healthcare data providers with access to CT, MRI, and X-ray scans covering various body parts and pathologies. We provide both retrospective data and custom medical data collection based on your technical requirements.

Collect video datasets directly from hospital sites with a trained team and dedicated equipment. medDARE supports surgical video data collection in operating rooms and across a wide range of procedures, helping healthcare AI teams build training datasets for computer vision, procedural analysis, and surgical intelligence applications. Video collection can be tailored to your clinical and technical specifications.

Turn raw medical datasets into accurate, model-ready training data with expert annotation and quality assurance. medDARE’s clinical team supports medical data annotation workflows including labeling, contouring, 2D and 3D modeling, and review processes designed to improve dataset quality and AI performance. We work with both open-source tools and client-provided annotation environments.

Protect patient privacy and meet regulatory requirements with robust image and video anonymization workflows. To support compliance with European and US regulatory standards, medDARE anonymizes medical data using a combination of commercial and proprietary software, followed by in-house quality assurance checks.

Beyond data collection and annotation, medDARE supports clients with project audits, database creation from scratch, annotation guideline development, and other custom data operations needed to move healthcare AI projects forward. Our experience building AI projects from the ground up allows us to adapt to a wide range of technical, clinical, and operational requirements.