Alicia Toledano’s article is in INSIGHT IMAGING’s Top 100 most cited articles on artificial intelligence in breast radiology!
- luminawebsitedesig
- Dec 16, 2025
- 2 min read
By Alicia Toledano, ScD, President, Biostatistics Consulting
A paper by Conant, Toledano, Periaswamy, et al., “Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis,” in Radiology: Artificial Intelligence, reports results of a reader study with 24 radiologists reading 260 Digital Breast Tomosynthesis (DBT) examinations (including 65 cancer cases). The paper was recently cited in an evidence-based review of FDA-cleared tools for screening DBT.
Results of the reader study showed that concurrent use of the DBT AI system increased sensitivity by 8.0%, increased specificity by 6.9%, and decreased recall rate for noncancers by 7.2%, while decreasing reading time by more than 50% (from 64.1 seconds without AI to 30.4 seconds with AI). Area under the receiver operating characteristic (ROC) curve (AUC) also increased, by 0.057. All differences were statistically significant.
Several other publications have also cited the paper by Conant, Toledano, Periaswamy, et al., placing it among the 100 most-cited articles on AI in breast radiology. In the last 5 years it is the 14th-most-cited article on AI in breast radiology overall, and the second-most-cited for breast cancer diagnosis/detection on mammography.
The authors have made this important paper open access.
Citations, in order cited; final citation is the first paper again:
1. Conant EF, Toledano AY, Periaswamy S, et al. Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiol Artif Intell. 2019;1(4):e180096. Published 2019 Jul 31. doi:10.1148/ryai.2019180096.
2. Lamb LR, Lehman CD, Do S, Kim K, Langarica S, Bahl M. Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT). AI Precis Oncol. 2024;1(4):195-206. Published 2024 Aug 19. doi:10.1089/aipo.2024.0022.
3. Singh S, Healy NA. The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis. Insights Imaging. 2024;15(1):297. Published 2024 Dec 12. doi:10.1186/s13244-024-01869-4.
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