This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (93) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Imaging Informatics (193) Breast Cancer (206) Innovations and Technology for Cancer Prevention and Screening (147)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12660, first published .
Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review

Authors of this article:

Rafia Masud1 Author Orcid Image ;   Mona Al-Rei1 Author Orcid Image ;   Cynthia Lokker1 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

Journals

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  8. Guo Z, Xie J, Wan Y, Zhang M, Qiao L, Yu J, Chen S, Li B, Yao Y. A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis. Open Life Sciences 2022;17(1):1600 View
  9. Cellina M, Cè M, Khenkina N, Sinichich P, Cervelli M, Poggi V, Boemi S, Ierardi A, Carrafiello G. Artificial Intelligence in the Era of Precision Oncological Imaging. Technology in Cancer Research & Treatment 2022;21 View
  10. Ng C. Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection and Diagnosis in Pediatric Radiology: A Systematic Review. Children 2023;10(3):525 View
  11. Patel K, Huang S, Rashid A, Varghese B, Gholamrezanezhad A. A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer. Life 2023;13(10):2011 View
  12. Kunar M, Watson D. Framing the fallibility of Computer-Aided Detection aids cancer detection. Cognitive Research: Principles and Implications 2023;8(1) View
  13. Retson T, Eghtedari M. Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning’s Role in Breast Imaging beyond Screening Mammography. Diagnostics 2023;13(13):2133 View
  14. Malik M, Yasmin S, Kumar A, Hassan Y, Rizvi Y, . I. Can Artificial Intelligence Beat Humans in Detecting Breast Malignancy on Mammograms?. Cureus 2023 View
  15. Lokaj B, Pugliese M, Kinkel K, Lovis C, Schmid J. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review. European Radiology 2023;34(3):2096 View
  16. Kim H, Kim H. Application of Artificial Intelligence in Breast Imaging: Current Landscape and Prospects. Korean Journal of Family Practice 2023;13(4):196 View
  17. Perez-Downes J, Tseng A, McConn K, Elattar S, Sokumbi O, Sebro R, Allyse M, Dangott B, Carter R, Adedinsewo D. Mitigating Bias in Clinical Machine Learning Models. Current Treatment Options in Cardiovascular Medicine 2024;26(3):29 View
  18. Shamir S, Sasson A, Margolies L, Mendelson D. New Frontiers in Breast Cancer Imaging: The Rise of AI. Bioengineering 2024;11(5):451 View
  19. Yao J, Chu L, Patlas M. Applications of Artificial Intelligence in Acute Abdominal Imaging. Canadian Association of Radiologists Journal 2024;75(4):761 View
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Books/Policy Documents

  1. Gadde S. Holistic Approach to Breast Disease. View