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

Digital Health Reviews (1724) Breast Cancer (290) Artificial Intelligence (2129) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Imaging Informatics (302) Innovations and Technology for Cancer Prevention and Screening (201)

Published on in Vol 27 (2025)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62941, first published .
Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Authors of this article:

Serene Goh1 Author Orcid Image ;   Rachel Sze Jen Goh2 Author Orcid Image ;   Bryan Chong2 Author Orcid Image ;   Qin Xiang Ng3 Author Orcid Image ;   Gerald Choon Huat Koh3 Author Orcid Image ;   Kee Yuan Ngiam4 Author Orcid Image ;   Mikael Hartman4 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Jacob C, Brasier N, Laurenzi E, Heuss S, Mougiakakou S, Cöltekin A, Peter M. AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis. Journal of Medical Internet Research 2025;27:e67485 View
  2. Akbar W, Li S, Soomro A, Hussain A, Attar R, Hussain T, Alhazmi A, Alsagri R. TraHeaLRG: Transformative Healthcare Leveraging LSTM and GRU Models Toward Improved Accuracy for Chest X-Ray Report Generation. International Journal of Pattern Recognition and Artificial Intelligence 2025;39(15) View
  3. Pesapane F, Nicosia L, D’Amelio L, Quercioli G, Pannarale M, Priolo F, Marinucci I, Farina M, Penco S, Dominelli V, Rotili A, Meneghetti L, Bozzini A, Santicchia S, Cassano E. Artificial Intelligence-Driven Personalization in Breast Cancer Screening: From Population Models to Individualized Protocols. Cancers 2025;17(17):2901 View
  4. Lastrucci A, Iosca N, Wandael Y, Barra A, Ricci R, Nori Cucchiari J, Forini N, Lepri G, Giansanti D. Transforming Breast Imaging: A Narrative Review of Systematic Evidence on Artificial Intelligence in Mammographic Practice. Diagnostics 2025;15(17):2197 View
  5. Fang S, Zhang J, Han C, Kong M, Zhang H, Zhong M, Chen W, Yuan H, Xia W, Zhang W. Interpretable Machine Learning for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer Using the Baseline Clinical and Pathological Characteristics. Cancer Medicine 2025;14(17) View
  6. Wilkinson L. Radiologists and Artificial Intelligence in Breast Screening: Are We Ready?. American Journal of Roentgenology 2025 View
  7. Maran P, Braquehais M, Vlaic A, Alonzo-Castillo M, Vendrell-Serres J, Ramos-Quiroga J, Rodríguez-Urrutia A. Performance of Automatic Speech Analysis in Detecting Depression: Systematic Review and Meta-Analysis. JMIR Mental Health 2025;12:e67802 View
  8. Tekcan Sanli D, Sanli A. Comment on “Can Artificial Intelligence Cure Baumol’s Cost Disease?”. Journal of the American College of Radiology 2025 View

Conference Proceedings

  1. Abdelsabour I, Elgarayhi A, Sallah M, Elmogy M. 2025 International Telecommunications Conference (ITC-Egypt). Explainable MobileNetV2 Model for Different BI-RADS Breast Cancer Diagnosis Using Mammogram Scans View