Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy.

ABSTRACT: Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries lack resources for mammographic screening. Handheld breast ultrasound (BUS) is a low-cost alternative but requires substantial training. Artificial intelligence (AI) enabled BUS may aid in both the detection and classification of breast cancer, enabling screening use in low-resource contexts. The purpose of this systematic review is to investigate whether AI-enhanced BUS is sufficiently accurate to serve as the primary modality in screening, particularly in resource-limited environments. This review (CRD42023493053) is reported in accordance with the PRISMA guidelines. Evidence synthesis is reported in accordance with the SW

SUBMITTER: Bunnell A 

PROVIDER: S-EPMC12453205 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature