Medical Image Data Collection for AI-Ready Imaging Datasets

medDARE supports medical image data collection for CT-based AI projects through access to de-identified CT datasets across multiple body regions and clinical indications.

We can support projects involving::

• Head and neck CTs for stroke, oncology, and angiography applications
• Chest CTs for pneumonias, atelectasis, pneumothorax, hydrothorax, nodules, pulmonary embolism, and oncology
• Abdominal CTs for oncology, pancreatitis, hepatitis, cirrhosis, liver and kidney cysts, pyelonephritis, urolithiasis, and gallstone disease
• Pelvic CTs for oncology-related use cases
• Whole body CTs

Whether you need CT datasets for computer vision model development, radiology AI training, or validation of clinical algorithms, medDARE can help you access the right studies for your project.

medDARE supports medical imaging data collection for MRI-based AI use cases with access to de-identified MRI datasets across multiple anatomical regions.

We can support projects involving:

• Brain MRIs for oncology, vascular findings, multiple sclerosis, and hemorrhages
• Head and neck MRIs for stroke and oncology
• Breast MRIs for oncology and diagnostic analysis
• Abdominal MRIs for oncology, pancreatitis, hepatitis, cirrhosis, liver and kidney cysts, pyelonephritis, urolithiasis, and gallstone disease
• Pelvic MRIs for oncology-focused AI applications

Our MRI datasets can support model training, algorithm validation, disease detection workflows, and research programs that require clinically relevant imaging data.

medDARE provides access to de-identified X-ray datasets across common anatomical regions and pathologies relevant to healthcare AI.

We can support projects involving:

• Limb X-rays for fractures and dislocations
• Chest X-rays for pneumonias, atelectasis, pneumothorax, hydrothorax, and oncology
• Head X-rays for trauma and sinusitis
• Spine X-rays for fractures and degenerative changes

These radiology datasets can be used for AI model development, benchmarking, validation, and clinical research across a range of imaging applications.

Not every AI project fits into a standard dataset format. medDARE works with clients on custom medical image data collection projects designed around specific model objectives, pathology targets, modality needs, and feasibility constraints.

If your team is looking for a tailored dataset, we can support custom requests based on:

• target imaging modality
• anatomy or body region
• pathology or diagnosis category
• retrospective vs. proactive collection
• validation or development use case
• data volume and timeframe requirements

In addition to CT, MRI, and X-ray studies, we are open to new data collection projects involving a wider range of specialties and imaging needs.

Our extended data collection capabilities may include projects related to: Cardiology, Dermatology, Oncology, Obstetrics and gynecology (OBGYN), Ophtalmology, Ultrasound, Dental imaging, Surgeries.

medDARE supports two flexible models for medical image data collection: retrospective dataset access and proactive data collection.

Retrospective Medical Imaging Data

Our database already contains thousands of studies, and it continues to grow. Through our hospital network in Romania, Moldova, and Ukraine, as well as access to U.S., Latin America and European data through partners, we can help clients source de-identified medical imaging datasets for a wide range of AI applications.

Proactive Data Collection

When existing data is not enough, we can collect data according to your project requirements. This is especially useful for AI teams that need more specific modality-pathology combinations, curated volumes, or collection criteria aligned to a validation or development roadmap.

This combination of retrospective access and proactive sourcing gives healthcare AI teams more flexibility to build datasets that fit the real needs of model development and deployment.