Diagnostic Uncertainty & Improving Diagnostic Certainty in Radiology
Document Type
Article
Publication Date
6-3-2026
Publication Title
Academic Radiology
Abstract
The Radiology Research Alliance (RRA) of the Association of Academic Radiology (AAR) convenes task forces to study trends that will shape the future of radiology . In this article, the AAR-RRA Task Force on Diagnostic Uncertainty in Radiology set out to examine the causes of diagnostic uncertainty in radiology and identify strategies to improve and communicate diagnostic certainty. Drawing on a targeted literature review and expert insights from medical students, residents, and radiologists across subspecialties, the group identified key drivers of uncertainty and synthesized evidence-informed recommendations. Proposed strategies span quality improvement, research, artificial intelligence (AI) integration, education, and report standardization, with emphasis on effective communication of uncertainty to clinicians and patients.
First Page
2751
Last Page
2764
PubMed ID
42242823
Volume
33
Issue
7
Rights
© 2026 The Association of Academic Radiology.
Recommended Citation
DeSimone, Ariadne K.; Deng, Francis; Kirk, Bryan; Liu, Christine; Miao, Julia H.; Miao, Kathleen H.; Worthington, Megan; Farinas, Christian; Bajaj, Gitanjali; Jose, Joe; Clayton, M. Jane; Agarwal, Atul; Cohen, Stuart L.; Gulko, Edwin; Jawahar, Anugayathri; and Whitman, Gary J., "Diagnostic Uncertainty & Improving Diagnostic Certainty in Radiology" (2026). School of Medicine Faculty Publications. 4871.
https://digitalscholar.lsuhsc.edu/som_facpubs/4871
10.1016/j.acra.2026.02.025