Enhancing breast positioning quality through real-time AI feedback.

ABSTRACT:

Objectives

Enhance mammography quality to increase cancer detection by implementing continuous AI-driven feedback mechanisms, ensuring reliable, consistent, and high-quality screening by the 'Perfect', 'Good', 'Moderate', and 'Inadequate' (PGMI) criteria.

Materials and methods

To assess the impact of the AI software 'b-box^TM' on mammography quality, we conducted a comparative analysis of PGMI scores. We evaluated scores 50 days before (A) and after the software's implementation in 2021 (B), along with assessments made in the first week of August 2022 (C1) and 2023 (C2), comparing them to evaluations conducted by two readers. Except for postsurgical patients, we included all diagnostic and screening mammograms from one tertiary hospital.

Results

A total of 4

SUBMITTER: Sexauer R 

PROVIDER: S-EPMC12712050 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature