Healthcare groups release second roadmap focused on AI in radiology
Back in April, numerous healthcare organizations released a “research roadmap” focused on research priorities for AI algorithms in radiology that was published in Radiology, noting that another roadmap would follow in the near future.
That second roadmap is now a reality, exploring the various real-world challenges facing AI research in radiology and what can be done to “accelerate the safe and effective use of AI in clinical practice.” The full document was published in the Journal of the American College of Radiology.
The National Institutes of Health, RSNA, the American College of Radiology (ACR) and the Academy for Radiology and Biomedical Imaging Research co-sponsored the two roadmaps. They are both the result of a workshop sponsored by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in August 2018, where representatives from the groups gathered in Bethesda, Maryland, to examine this transformative technology and its growing impact on medical imaging.
“Although advances in foundational research are occurring rapidly, translation to routine clinical practice has been slower because we must ensure AI in medical imaging is useful, safe, effective and easily integrated into existing radiology workflows before they can be used in routine patient care,” Bibb Allen, MD, workshop co-chair and chief medical officer of the ACR Data Science Institute, said in a prepared statement. “The workshop highlighted structured AI use case development, access to diverse sources of data for training AI models, multi-site algorithm validation and monitoring the performance of these models using real-world data from clinical use as ways to accelerate the widespread deployment and clinical use of AI algorithms to improve the care we provide our patients.”
“Radiology has transformed the practice of medicine in the past century, and AI has the potential to radically impact radiology in positive ways,” Krishna Kandarpa, MD, PhD, co-author of the report and NIBIB’s director of research sciences and strategic directions, said in the same statement. “This roadmap is a timely survey and analysis by experts at federal agencies and among our industry and professional societies that will help us take the best advantage of AI technologies as they impact the medical imaging field.”
Michael has more than 18 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.