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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Machine Learning (2076) Decision Support for Health Professionals (1539)

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 Lin1, 2 Author Orcid Image ;   Liping Li3 Author Orcid Image ;   Haidong Zou1, 2 Author Orcid Image ;   Yi Xu1, 2 Author Orcid Image ;   Lina Lu1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) 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
  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 & 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
  6. Nouwens S, Marceta S, Bui M, van Dijk D, Groothuis-Oudshoorn C, Veldwijk J, van Til J, de Bekker-Grob E. The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review. PharmacoEconomics 2025;43(8):879 View
  7. Dunan A, Mudjiyanto B, Setiawan A, Syarifuddin S, Pala R, Rustam M, Dirgahayu D, Buyamin B, Nuryana M, Hartiningsih H. Artificial Intelligence in E-Entrepreneurship Training. International Journal of E-Entrepreneurship and Innovation 2025;15(1):1 View
  8. Wu Y, Gao G, Lei L, Yu T, Peng Y, Yang S, Gao M, Lin S, Wu T, Li D, Yao C, Lu L. Effectiveness and satisfaction of fully self-service fundus disease screening among middle-aged individuals: a cross-sectional study. BMJ Open Ophthalmology 2025;10(1):e001950 View
  9. Dong X, Zhao J, Zhao Z, Su C, Ma X. Reducing Primary Healthcare Bypass Behaviour: A Discrete Choice Experiment Study Exploring the Preferences for Primary Eye Care Services in Rural Xinjiang. The Patient - Patient-Centered Outcomes Research 2025 View
  10. Soh Z, Bai Y, Yu K, Zhou Y, Lei X, Thakur S, Lee Z, Phang L, Peng Q, Xue C, Chong R, Hoang Q, Raghavan L, Tham Y, Sabanayagam C, Wu W, Ho M, He J, Gupta P, Lamoureux E, Saw S, Nangia V, Panda-Jonas S, Xu J, Wang Y, Xu X, Jonas J, Wong T, Goh R, Liu Y, Cheng C. An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. Cell Reports Medicine 2025:102476 View