Radiologists' Perspectives on AI Integration in Mammographic Breast Cancer Screening: A Mixed Methods Study.

ABSTRACT:

Background/objectives

Artificial intelligence (AI) is increasingly applied in breast imaging, with potential to improve diagnostic accuracy and reduce workload in mammographic breast cancer screening. However, real-world integration of AI into national screening programs remains limited, and little is known about radiologists' perspectives in Asian settings. This study aimed to explore radiologists' perceptions of AI adoption in Singapore's breast screening program, focusing on perceived benefits, barriers, and requirements for safe integration.

Methods

We conducted a mixed methods study involving a cross-sectional survey of 17 radiologists with prior experience using AI-assisted mammography, followed by semi-structured interviews with 10 radiologists across all three public

SUBMITTER: Goh SSN 

PROVIDER: S-EPMC12607412 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature