Artificial intelligence and consistency in patient care: a large-scale longitudinal study of mammographic density assessment.

ABSTRACT:

Objectives

To assess whether use of an artificial intelligence (AI) model for mammography could result in more longitudinally consistent breast density assessments compared with interpreting radiologists.

Methods

The AI model was evaluated retrospectively on a large mammography dataset including 50 sites across the United States from an outpatient radiology practice. Examinations were acquired on Hologic imaging systems between 2016 and 2021 and were interpreted by 39 radiologists (36% fellowship trained; years of experience: 2-37 years). Longitudinal patterns in 4-category breast density and binary breast density (non-dense vs. dense) were characterized for all women with at least 3 examinations (61 177 women; 214 158 examinations) as constant, descending, ascending, or bi-

SUBMITTER: Holley SO 

PROVIDER: S-EPMC11974406 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature