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

Formative Evaluation of Digital Health Interventions (3262) Artificial Intelligence (2154) Breast Cancer (292) Imaging Informatics (306) Machine Learning (2088) Medical imaging (114) Innovations and Technology for Cancer Prevention and Screening (202) Decision Support for Health Professionals (1551)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66931, first published .
Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative Study

Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative Study

Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative Study

Authors of this article:

Serene Si Ning Goh1, 2, 3 Author Orcid Image ;   Hao Du1 Author Orcid Image ;   Loon Ying Tan4 Author Orcid Image ;   Edward Zhen Yu Seah4 Author Orcid Image ;   Wai Keat Lau4 Author Orcid Image ;   Alvin Hong Zhi Ng4 Author Orcid Image ;   Shi Wei Desmond Lim4 Author Orcid Image ;   Han Yang Ong4 Author Orcid Image ;   Samuel Lau4 Author Orcid Image ;   Yi Liang Tan4 Author Orcid Image ;   Mun sze Khaw4 Author Orcid Image ;   Chee Woei Yap4 Author Orcid Image ;   Kei Yiu Douglas Hui4 Author Orcid Image ;   Wei Chuan Tan4 Author Orcid Image ;   Haziz Siti Rozana Binti Abdul4 Author Orcid Image ;   Vanessa Mei Hui Khoo4 Author Orcid Image ;   Shuliang Ge4 Author Orcid Image ;   Felicity Jane Pool4 Author Orcid Image ;   Yun Song Choo4 Author Orcid Image ;   Yi Wang4 Author Orcid Image ;   Pooja Jagmohan3, 4 Author Orcid Image ;   Premilla Pillay Gopinathan4 Author Orcid Image ;   Mikael Hartman1, 2, 3 Author Orcid Image ;   Mengling Feng1, 5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Serene Si Ning Goh   1, 2, 3 * , MMed ;   Hao Du   1 * , PhD ;   Loon Ying Tan   4 , MMed ;   Edward Zhen Yu Seah   4 , MMed ;   Wai Keat Lau   4 , MMed ;   Alvin Hong Zhi Ng   4 , MMed ;   Shi Wei Desmond Lim   4 , MMed ;   Han Yang Ong   4 , MMed ;   Samuel Lau   4 , MMed ;   Yi Liang Tan   4 , MMed ;   Mun sze Khaw   4 , MMed ;   Chee Woei Yap   4 , MMed ;   Kei Yiu Douglas Hui   4 , MMed ;   Wei Chuan Tan   4 , MMed ;   Haziz Siti Rozana Binti Abdul   4 , MMed ;   Vanessa Mei Hui Khoo   4 , MMed ;   Shuliang Ge   4 , MMed ;   Felicity Jane Pool   4 , MBChB ;   Yun Song Choo   4 , MMed ;   Yi Wang   4 , PhD ;   Pooja Jagmohan   3, 4 , MD ;   Premilla Pillay Gopinathan   4 , MMed ;   Mikael Hartman   1, 2, 3 , PhD ;   Mengling Feng   1, 5 , PhD

1 Saw Swee Hock School of Public Health, National University Health System, National University Hospital Singapore, Singapore, Singapore

2 Department of Breast and General Surgery, National University Health System, Singapore, Singapore

3 Yong Yoo Lin School of Medicine, National University of Singapore, Singapore, Singapore

4 Department of Diagnostic Imaging, National University Hospital, Singapore, Singapore

5 Institute of Data Science, National University of Singapore, Singapore, Singapore

*these authors contributed equally

Corresponding Author:

  • Mengling Feng, PhD
  • Saw Swee Hock School of Public Health, National University Health System
  • National University Hospital Singapore
  • 12 Science Drive 2
  • Singapore 117549
  • Singapore
  • Phone: 65 6516 4984
  • Email: ephfm@nus.edu.sg