Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography

• by Michael H. Bernstein, Michael K. Atalay, Elizabeth H. Dibble, Aaron W. P. Maxwell, Adib R. Karam, Saurabh Agarwal, Robert C. Ward, Terrance T. Healey, Grayson L. Baird

• June 2, 2023

Global Cardiac Imaging Radiation Varies Widely

International study of more than 19,000 patients finds substantial differences in radiation exposure from coronary artery disease imaging across modalities, regions, and income levels.

• by Julie Greenbaum

• March 12, 2026

• 4 min

Can AI Clarify Lung Screening?

Study assesses comprehension of large language model-generated lung screening summaries

• by Jess Allerton

• March 17, 2026

• 2 min

Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence

• by Noa Antonissen, Steven Schalekamp, Horst K. Hahn, Kicky G. van Leeuwen, Colin Jacobs

• May 7, 2026