NIH will offer $10M to develop new imaging AI algorithms focused on unmet needs
The National Institutes of Health is hoping to offer over $10 million in grants for proposals to create new imaging artificial intelligence models focused on unmet clinical needs.
NIH recently updated the grant page for its PRIMED-AI program, which was previously announced in May. The Precision Medicine with AI model seeks tech companies who can develop cost-effective tools to predict healthcare outcomes from radiological images.
The NIH could post its initial request for proposals on Dec. 11, with an approximate due date of Feb. 11. Grants would be awarded by December 2026, the agency estimated, drawing from 2027 funds.
“The PRIMED-AI program will support … AI-based tools that integrate clinical imaging with other health data types to enhance care for patients with chronic and other health conditions,” the NIH said in May. “Accomplishing this goal will revolutionize the delivery of personalized medicine and substantially improve diagnosis, treatment and quality of health for the American people.”
The program’s Translating Model to Clinic Initiative will initially focus on AI model-building through large, retrospective imaging datasets. NIH hopes model developers can lay a “robust foundation for improved diagnostic accuracy, prognostic prediction, or therapeutic guidance where current methods fall short,” according to a Sept. 12 notice posted by the agency.
Marty Stempniak has covered healthcare since 2012, with his byline appearing in the American Hospital Association's member magazine, Modern Healthcare and McKnight's. Prior to that, he wrote about village government and local business for his hometown newspaper in Oak Park, Illinois. He won a Peter Lisagor and Gold EXCEL awards in 2017 for his coverage of the opioid epidemic.