Review

Ten Years of Artificial Intelligence in Screening Mammography: A Systematic Review and Meta-Analysis of Diagnostic Accuracy and Clinical Implementation (Literature Published 2015-2025)

Figure 1. PRISMA 2020 flow diagram for the review, showing database and non-database sources separately, with itemised reasons for exclusion at full-text assessment.
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Figure 1. PRISMA 2020 flow diagram for the review, showing database and non-database sources separately, with itemised reasons for exclusion at full-text assessment.PRISMA 2020 flow diagram for the review, showing database and non-database sources separately, with itemised reasons for exclusion at full-text assessment.Ciurescu et al. · CC BY

Diagnostics

Abstract

Background: Deep-learning artificial intelligence (AI) for mammographic screening moved from proof of concept to randomised evaluation in a single decade. We reviewed and meta-analysed its diagnostic accuracy and its effect on screening programmes, covering the literature published between 2015 and 2025.

The paper

Victor Babeș University of Medicine and Pharmacy Timișoara

Diagnostics · 20 Sep 2026 · CC BY

doi.org/10.3390/diagnostics16183045PubMed 42793830

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