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NIH Contributes to Roadmap on AI-Applied Medical Imaging

Jeff Brody

The National Institutes of Health co-developed a report highlighting translational research efforts on artificial intelligence applied in medical imaging. The Journal of the American College of Radiology published the report that lists priority research efforts on the use of big data, cloud and machine learning to visually aid doctors in forming diagnoses, NIH said Tuesday.

The report, with its predecessor published in April, contain input from a workshop in August last year. NIH co-organized the workshop with the Radiologic American College of Radiology and the Radiological Society of North America.

“Radiology has transformed the practice of medicine in the past century, and AI has the potential to radically impact radiology in positive ways,” said Krishna Kandarpa, co-author of the report and director of research sciences and strategic directions at NIH's National Institute of Biomedical Imaging and Bioengineering.

She added that the new report serves as a roadmap of expert-based analyses and survey studies on AI medical applications. Experts from government, industry and academia contributed to both new and previous reports.

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