‘Vast and diverse’ repository of image data goes open-access for healthcare AI researchers
A small medtech outfit in North Carolina is opening its trove of medical imaging datasets to academic researchers working to develop AI applications for healthcare.
Gradient Health announced the initiative June 22.
The company, whose LinkedIn profile lists nine employees, says its platform maintains an expansive database of anonymized, ethically sourced and prelabeled image data.
Duke University and Stanford University are among the early accessors under Gradient’s open-access initiative, according to the announcement.
The company says two Stanford researchers, for example, have so far tapped Gradient data for more than 10,000 chest X-rays to help them investigate bias within radiological artificial intelligence.
Along with millions of medical images from around the world, Gradient’s offerings include image-labeling services with access to “dozens of board-certified and expert radiologists” from the U.S. and Brazil plus a labeling tool “created by radiologists for radiologists,” according to the social media profile.
Gradient CEO Josh Miller comments that research aimed at saving lives “shouldn’t benefit select groups. 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.”
Brief announcement here.
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Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.