June 22, 2022 – Gradient Health, a North Carolina-based medical technology company, announced a new initiative that will give academic researchers open access to their vast and diverse medical imaging datasets, accelerating high-level research. quality on AI for healthcare.
Medical researchers are often held back by the lack of easy access to large, unbiased datasets. Gradient Health’s platform provides instant access to a large database of ethically-sourced medical images. This allows researchers to quickly find the data they need, access pre-tagged images, and develop AI algorithms based on truly representative data.
Early adopters of the technology under this initiative include world-renowned research institutes such as Stanford University and Duke University.
Kevin Wu and Eric Wu of Stanford University are studying biases within AI in radiology. So far, Gradient has provided over 10,000 chest X-ray images for review. They particularly chose to work with Gradient because of the speed with which they are able to deliver large datasets and the diversity of the data.
“AI algorithms are increasingly used in clinical care – however, an often underestimated question is whether these models perform well on patients from underrepresented populations.” Comments Eric Wu, “We are excited to work with the team at Gradient Health and their diverse datasets to make medical AI more fair and equitable.”
Josh Helmkamp, MD, of Duke University, partners with Gradient Health to further orthopedic research.
Josh Miller, CEO of Gradient Health, comments: “Research that aims to save lives should not benefit selected groups – and to make sure that doesn’t happen, we need to make sure researchers have diverse data. and readily available. It’s the only way to improve the quality and reduce the cost of care – for everyone.
For more information: https://gradienthealth.io/