Artificial intelligence (AI) has the potential not only to redefine the way radiology is practiced, but also to illuminate the unique challenges of radiology, a new study from the National Academy of Sciences finds. Journal of the American College of Radiology (JACR).
of JACR Focused Questions on the Impact of AI on Workflow Optimization provides a collection of invited studies and reviews that explore the ways in which AI technologies are regularly utilized across a variety of practice types.
When deployed carefully, AI can complement human expertise and improve efficiency and patient care. Successful workflow optimization requires integrating AI technology into daily workflows. This can be hampered by inadequate infrastructure, strict institutional regulations, and lack of insurance reimbursement. Poorly integrated AI can reduce workflow, satisfaction, and safety, and perpetuate bias in healthcare. ”
Gelareh Sadigh, MD, Associate Editor for Health Services Research, Journal of the American College of Radiology
According to Dr. Sadi, the articles included in this issue reflect broader changes in radiology. Workflow is not a secondary benefit of AI; it is the primary determinant of whether a tool is successful. If AI is to meaningfully assist radiology, it must make healthcare delivery better, not more complex.
Ruth C. Carlos, M.D., M.A., editor-in-chief of the Journal of the American College of Radiology, said, “This focused issue provides meaningful guidance for the effectiveness of AI in navigating a rapidly changing landscape.”
sauce:
American College of Radiology
Reference magazines:
Sadie, G. Others. (2026). From image overload to intelligent workflows. Science Immunology. DOI: 10.1016/j.jacr.2026.01.001, https://www.jacr.org/article/S1546-1440(26)00001-3/fulltext.
