Leveraging Differences in AI and Human “Vision” to Improve Breast Cancer Detection

HomeRadiologyVol. 309, No. 1 PreviousNext Reviews and CommentaryEditorialLeveraging Differences in AI and Human “Vision” to Improve Breast Cancer DetectionTejas S. Mehta Tejas S. Mehta Author AffiliationsFrom the Department of Radiology, UMass Memorial Medical Center, UMass Chan Medical School, 55 Lake Ave N, Worcester, MA 01655.Address correspondence to the author (email: [email protected]).Tejas S. Mehta Published Online:Oct 17 2023https://doi.org/10.1148/radiol.232520MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Lee CI, Abraham L, Miglioretti DL, et al; Breast Cancer Surveillance Consortium. National performance benchmarks for screening digital breast tomosynthesis: update from the Breast Cancer Surveillance Consortium. Radiology 2023;307(4):e222499. Link, Google Scholar2. Monticciolo DL, Malak SF, Friedewald SM, et al. Breast cancer screening recommendations inclusive of all women at average risk: update from the ACR and Society of Breast Imaging. J Am Coll Radiol 2021;18(9):1280–1288. Crossref, Medline, Google Scholar3. Larsen M, Olstad CF, Koch HW, et al. AI risk score on screening mammograms preceding breast cancer diagnosis. Radiology 2023;309(1):e230989. Google Scholar4. Houssami N, Hunter K. The epidemiology, radiology and biological characteristics of interval breast cancers in population mammography screening. NPJ Breast Cancer 2017;3(1):12. Crossref, Medline, Google Scholar5. Lång K, Josefsson V, Larsson AM, et al. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study. Lancet Oncol 2023;24(8):936–944. Crossref, Medline, Google Scholar6. Raya-Povedano JL, Romero-Martín S, Elías-Cabot E, Gubern-Mérida A, Rodríguez-Ruiz A, Álvarez-Benito M. AI-based strategies to reduce workload in breast cancer screening with mammography and tomosynthesis: a retrospective evaluation. Radiology 2021;300(1):57–65. Link, Google Scholar7. Dahlblom V, Dustler M, Tingberg A, Zackrisson S. Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence. Eur Radiol 2023;33(5):3754–3765. Crossref, Medline, Google Scholar8. Ng AY, Glocker B, Oberije C, et al. Artificial intelligence as supporting reader in breast screening: a novel workflow to preserve quality and reduce workload. J Breast Imaging 2023;5(3):267–276. Crossref, Google Scholar9. Makino T, Jastrzębski S, Oleszkiewicz W, et al. Differences between human and machine perception in medical diagnosis. Sci Rep 2022;12(1):6877. Crossref, Medline, Google Scholar10. Cai H, Huang Q, Rong W, et al. Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms. Comput Math Methods Med 2019;2019:2717454. Crossref, Medline, Google ScholarArticle HistoryReceived: Sept 18 2023Revision requested: Sept 25 2023Revision received: Sept 25 2023Accepted: Sept 26 2023Published online: Oct 17 2023 FiguresReferencesRelatedDetailsRecommended Articles Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future PerspectivesRadiology2019Volume: 293Issue: 2pp. 246-259Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted TerritoryRadiology2023Volume: 307Issue: 5AI Risk Score on Screening Mammograms Preceding Breast Cancer DiagnosisRadiology2023Volume: 309Issue: 1Breast Cancer Risk Prediction Using Deep LearningRadiology2021Volume: 301Issue: 3pp. 559-560Recall and Outcome of Screen-detected Microcalcifications during 2 Decades of Mammography Screening in the Netherlands National Breast Screening ProgramRadiology2020Volume: 294Issue: 3pp. 528-537See More RSNA Education Exhibits New Horizons: Artificial Intelligence (AI) In Digital Breast Tomosynthesis (DBT)Digital Posters2021Artificial Intelligence in Breast Imaging: Past, Present, and FutureDigital Posters2020Are We Ready to Substitute Synthesized Mammography for Full-Field Digital Mammography?Digital Posters2019 RSNA Case Collection Ductal Carcinoma In SituRSNA Case Collection2022BI-RADS 4C - High suspicion for malignancyRSNA Case Collection2022BI-RADS 2: Dystrophic CalcificationsRSNA Case Collection2022 Vol. 309, No. 1 Metrics Altmetric Score PDF download