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Research Square|December 8, 2025
Generative AI-Enhanced Microcalcification Detection in Full-Field Digital Mammography: Reducing False Positives with High SensitivityKyungsu Kim, Manisha Bahl, Adham Mahmoud Alkhadrawi, et al.Radiology|July 29, 2025
AI to Reduce the Interval Cancer Rate of Screening Digital Breast TomosynthesisManisha Bahl, Saul Langarica, Leslie R Lamb, et al.AI in Precision Oncology|April 4, 2025
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)Leslie R Lamb, Constance D Lehman, Synho Do, et al.NPJ Digital Medicine|February 20, 2026
Defining operational safety in clinical artificial intelligence systemsYoung-Tak Kim, Hyunji Kim, Manisha Bahl, et al.Journal of the Korean Society of Radiology|October 17, 2024
[Explainable & Safe Artificial Intelligence in Radiology]Synho DoAcademic Radiology|April 1, 2018
Incidental Thyroid Nodules in the National Lung Screening Trial: Estimation of Prevalence, Malignancy Rate, and Strategy for WorkupManisha BahlRadiologic Clinics of North America|April 22, 2026
Screening for Breast Cancer: Imaging UpdatesManisha BahlSeminars in Roentgenology|May 6, 2022
Updates in Artificial Intelligence for Breast ImagingManisha BahlJournal of Breast Imaging|December 19, 2022
Artificial Intelligence in Clinical Practice: Implementation Considerations and BarriersManisha BahlEuropean Journal of Breast Health|April 9, 2026
Performance Metrics of Screening Digital Breast Tomosynthesis Based on AgeManisha BahlPageof 15