Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40249, first published .
Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment

Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment

Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment

Journals

  1. Zhang J, Zou H. Artificial intelligence technology for myopia challenges: A review. Frontiers in Cell and Developmental Biology 2023;11 View
  2. Lin S, Ma Y, Xu Y, Lu L, He J, Zhu J, Peng Y, Yu T, Congdon N, Zou H. Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data. JMIR Public Health and Surveillance 2023;9:e41624 View
  3. Zhu A, Tailor P, Verma R, Zhang I, Schott B, Ye C, Szirth B, Habiel M, Khouri A. Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19. Journal of Telemedicine and Telecare 2023:1357633X2311588 View
  4. Xue W, Zhang J, Ma Y, Hou J, Xiao F, Feng R, Zhao R, Zou H. Deep learning-based analysis of infrared fundus photography for automated diagnosis of diabetic retinopathy with cataracts. Journal of Cataract and Refractive Surgery 2023;49(10):1043 View
  5. Zhang J, Lin S, Cheng T, Xu Y, Lu L, He J, Yu T, Peng Y, Zhang Y, Zou H, Ma Y. RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis. npj Digital Medicine 2024;7(1) View