Develop and train AI models faster and more effectively with OneMedNet’s Imaging Real-World Data (iRWD™).
AI models, including those developed for medical imaging, are advancing diagnostics and patient care. Deep learning algorithms can extract insight from medical images at an untold level of detail.
Training these models requires vast amounts of clinical data. OneMedNet equips your AI model with rich, heterogenous, and regulatory-grade iRWD™ precisely curated to your specifications — often expediting the clinical trials needed to validate your model.
OneMedNet’s iRWD™ can accelerate the development of your imaging model by curating datasets for AI training and validation.
With our data, you can simultaneously pursue multiple use cases for your model and leverage our curation skills and longitudinal record access to build deeper knowledge-based efficiencies (e.g., implementing probabilistic labels).
Our customer wanted to train their algorithm to detect lung cancer sooner — spotting early signs through X-ray images instead of requiring CT scans.
3,000
perfectly curated images
1500
screening positives
1500
screening negatives
12 months
metadata for all biopsy, cytology, or histology of specimen within 12 months of initial screening
Contact us today to get your request matched with precision-curated, real-time RWD.
Contact us today to get your request matched with precision-curated, real-time RWD.
OneMedNet Corporation
6385 Old Shady Oak Rd, Suite 250
Eden Prairie, MN 55344 USA
800-918-7189
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