RYVER.AI
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About
RYVER.AI enables medical AI teams to generate high-quality synthetic radiology images with annotations, tackling bias in medical AI data. The platform provides pre-trained generative models that can be fine-tuned with proprietary data while ensuring data security. By augmenting proprietary datasets and oversampling underrepresented subgroups, RYVER helps improve the accuracy and robustness of AI systems, reducing the time and cost associated with data acquisition significantly. RYVER models are capable of producing high-quality images in minutes, enabling faster iterative development for AI teams. Users can easily integrate these generative models into their data pipelines using RYVER's Python libraries.
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Task
Features
• generates high-quality synthetic medical images
• provides tools for assessing synthetic data quality
• integrates easily into data pipelines
• quickly generates data in minutes
• saves 80-90% in data acquisition costs
• pre-trained on diverse medical data
• augments proprietary datasets
• reduces bias in medical ai
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