Join Segmed at the MICCAI Annual Meeting 2025!

Discover how Segmed is shaping the future of medical imaging innovation with Real-World Imaging Data (RWiD)

Connect with us at MICCAI to explore how access to diverse, de-identified imaging datasets can accelerate AI research, enhance clinical insights, and support the development of cutting-edge medical imaging and computer-assisted intervention technologies.

At Segmed, we’re committed to advancing patient outcomes by making high-quality, real-world imaging data easily accessible for research and innovation. Our multimodal datasets — including radiology images, reports, and longitudinal data — are tailored for the needs of the MICCAI community. Backed by 100M+ imaging studies and experience supporting 35+ FDA-cleared products, Segmed ensures your developments meet the highest standards of rigor and reproducibility.

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Meet us at MICCAI to learn how RWiD is driving advancements in:
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• Training & validating AI/ML algorithms: Build and benchmark robust models for diagnostic imaging, segmentation, and intervention planning.
  
  
• Biomarker discovery & precision medicine: Unlock imaging biomarkers and radiomic signatures to personalize care and improve patient outcomes.
  
  
• Clinical trial design & optimization: Leverage diverse, real-world cohorts to simulate trials, build external control arms, and improve patient stratification.
  
  
• Regulatory-grade evidence generation: Validate algorithms and interventions with high-quality, reproducible datasets to accelerate clinical adoption.
  
  
• Multi-site algorithm generalization: Ensure performance across institutions, devices, and imaging protocols for real-world deployment.
  
  
• Imaging-based treatment planning: Enhance surgical navigation and intervention workflows through evidence-driven imaging datasets.
  
  
• Comparative effectiveness research: Evaluate computer-assisted interventions versus traditional techniques using real-world imaging data.
  
  
• Longitudinal outcomes tracking: Link imaging to follow-up data for studying disease progression and intervention effectiveness over time.
  
  
• Education & benchmarking: Provide standardized datasets to support challenges, competitions, and reproducibility studies within the MICCAI community.
  

Today’s MICCAI researchers and innovators are leveraging RWiD to train robust AI models, validate tools in multi-institutional datasets, and translate algorithmic innovation into clinical impact — all using diverse, de-identified imaging data from real patients in real settings.

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‍Meet Our Expert: Dr. Jie Wu

Jie Wu, PhD, our Cofounder, Chief Data Officer and Chief Revenue Officer, will be onsite at MICCAI in South Korea and is available for one-on-one meetings. Jie is an outstanding data engineer, research scientist, and entrepreneur, with great knowledge and understanding of machine learning, computer science, and diverse engineering fields. Mike brings invaluable technology and industry expertise.
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Request a meeting with Jie to explore how Segmed can support your AI medical innovations with RWiD.