Evaluating the Impact of Changes in Artificial Intelligence–derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes

2025/01/15 by Samantha P. Zuckerman, Senthil Periaswamy, Julie Shisler +4 · 1 voice
Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Radiography and Breast Imaging

paper · doi:10.1148/ryai.230597

openalex publication_date 2025/01/15 · openalex created_date 2025/01/16 · openalex updated_date 2026/07/31

Abstract

In a large digital breast tomosynthesis screening cohort with artificial intelligence–derived case-level scores, there were larger increases in mean case score change over sequential screenings for true-positive examinations compared with true-negative and false-positive examinations.

Citations

• The incidence of fatal breast cancer measures the increased effectiveness of therapy in women participating in mammography screening

Discussions

• Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.b [bsky, 3 points, 0 comments]

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