About the expert Laura Dean, MD, is a board-certified diagnostic radiologist at Cleveland Clinic, where she has been ...

The study also aimed to examine the patients' plans related to decision making about future mammography for breast cancer screening.

Higher education linked to higher AI acceptance; concern for bias greater in Hispanic, non-Hispanic Black versus White participants.

Most patients support using AI as a secondary reader alongside radiologists in screening mammography, with 71% preferring this approach, while less than 5% are comfortable with AI alone.

The results of a large survey from a diverse patient population revealed cautious support for artificial intelligence (AI) implementation in screening mammography, according to a study published ...

Having established improved cancer detection, the interval cancer rate will reveal whether AI catches certain early cancers missed by standard screening.

and improving patient outcomes. Recent data from the American College of Radiology's Mammography Positioning Improvement Collaborative illustrates the potential of structured QI efforts.

HealthDay News — Use of artificial intelligence (AI) as a second reader in screening mammography is accepted by patients, according to a study published in Radiology: Imaging Cancer. B.