June 22, 2022 — Gradient Health, a medical technology company based in North Carolina, announced a new initiative which will give academic researchers open access to their vast and diverse medical imaging datasets, accelerating high quality research into AI for healthcare.
Medical researchers are often held back by a lack of easy access to large, unbiased datasets. Gradient Health’s platform provides instant access to a vast database of ethically sourced medical imagery. This enables researchers to quickly search for the data they need, access pre-labeled images, and develop AI algorithms that are based on truly representative data.
Early adopters of the technology as part of this initiative include world leading research institutions such as Stanford University and Duke University.
来自斯坦福大学的Kevin Wu和Eric Wu正在调查放射人工智能的偏差。到目前为止，Gradient已经提供了超过1万张胸片供他们研究。他们特别选择使用Gradient，因为他们能够交付大数据集的速度和数据的多样性。
"AI algorithms are increasingly used in clinical care -- however, an often under looked question is whether these models perform well on patients from underrepresented populations.” Comments Eric Wu, “We're excited to be working with the Gradient Health team and their diverse datasets toward making medical AI more fair and equitable.”
Josh Helmkamp, MD, at Duke University is partnering with Gradient Health to further research into orthopedics.
Josh Miller, CEO, Gradient Health comments “Research that aims to save lives shouldn’t benefit select groups- and to make sure that doesn’t happen, we need to make sure researchers have diverse and readily available data. That’s the only way we can improve quality and bring down the cost of care - for everyone.”
For more information:https://gradienthealth.io/
August 11, 2022
