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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (376) Artificial Intelligence (717) Clinical Information and Decision Making (952) Machine Learning (1056) Decision Support for Health Professionals (772)

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

Authors of this article:

Senlin Lin 1, 2 Author Orcid Image ;   Liping Li 3 Author Orcid Image ;   Haidong Zou 1, 2 Author Orcid Image ;   Yi Xu 1, 2 Author Orcid Image ;   Lina Lu 1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

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