Segmed, NVIDIA, and RadImageNet Kickstart Generative AI Initiative for Synthetic Medical Imaging Data
On April 19, 2023, Segmed, in collaboration with NVIDIA and RadImageNet, launched an initiative to generate and commercialize synthetic medical imaging data. This project aims to enhance research and development by providing access to synthetic imaging data alongside over 60 million de-identified real-world imaging records available on Segmed Insight, their data curation platform.
The initiative utilizes advanced generative imaging models capable of producing over 160 pathologic classifications for CT scans, MRIs, ultrasounds, and endoscopic surgery. The synthetic data generated will be available for licensing, helping researchers improve AI algorithms for medical diagnoses. This partnership is designed to protect patient privacy while expanding the scope of data available for training AI models.
- Collaboration with NVIDIA and RadImageNet enhances Segmed's capabilities in medical imaging data.
- Access to over 60 million real-world imaging records supports extensive research opportunities.
- Generation of synthetic data protects patient privacy and broadens the scope of training datasets.
- None.
As part of this initiative, Segmed will offer synthetic medical imaging data on their self-serve medical data curation platform, Segmed Insight. This is in addition to the 60M+ de-identified real-world imaging records that Segmed has access to in their data network.
State-of-the-art generative imaging models were trained to generate synthetic data for CT, MRIs, Ultrasound, and Endoscopic surgery. These models can generate over 160 pathologic classifications, as well as create synthetic segmentations on top of the synthetic image frames. This data can then be used to train or augment downstream AI model training. Segmed is making said data available for licensing to researchers and companies doing medical research.
In addition, Segmed is developing generative AI models to create high-quality synthetic images. These images will also be made available via their Insight platform in the coming months.
By generating large quantities of synthetic images that closely mimic real-world data, this partnership will help to expand the availability of training data, while also augmenting the scope and variability of patient datasets. Potential use cases of the generated data include classification of modality, body part, and reconstruction plane. Synthetic data has the added benefit of protecting patient privacy, as synthetic records cannot be linked back to real patients.
"We're thrilled to be working with NVIDIA and RadImageNet on this initiative, as this collaboration is a great step towards enhancing datasets used for research" said Adam Koszek, CTO & Co-founder of Segmed. "Supplementing the real-world data Segmed already provides with synthetic data can further increase the robustness and adaptability of our customers' AI algorithms and models."
"Generative AI for imaging is at an inflection point, and has the capability to truly democratize healthcare imaging data," said an NVIDIA representative. "We're excited to work with partners like Segmed and RadImageNet to make this a reality."
The goal of this partnership is to accelerate the refinement of medical AI algorithms to improve the accuracy and consistency of medical diagnoses, ultimately leading to better patient outcomes.
Segmed's mission is to revolutionize healthcare research by unlocking the unique information found in medical imaging studies so they can be applied to innovation. Their software platform - Segmed Insight - enables the creation of study cohorts across a global imaging network, while also enabling safe extraction, de-identification, and transfer of the targeted studies. Images can be linked to other clinical data to provide a holistic longitudinal patient profile. These capabilities support research and AI-targeted imaging for specific patient populations and/or disease diagnosis and treatment. Learn more at https://www.segmed.ai/.
About NVIDIA:
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full- stack computing company with data-center-scale offerings that are reshaping the industry. More information at https://nvidianews.nvidia.com/.
About RadImageNet:
View original content to download multimedia:https://www.prnewswire.com/news-releases/segmed-nvidia-and-radimagenet-kickstart-generative-ai-initiative-for-synthetic-medical-imaging-data-301802001.html
SOURCE Segmed
FAQ
What is the significance of the partnership between Segmed and NVIDIA?
How many real-world imaging records does Segmed provide?
What types of imaging data will be generated through this collaboration?
When was the collaboration between Segmed and NVIDIA announced?
What are the benefits of using synthetic medical imaging data?
