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

Artificial Intelligence (2129) Machine Learning (2076) New Diagnostic Tools and Instruments for Pediatrics (48) Clinical Information and Decision Making (1915) Ophthalmology (67)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60367, first published .
Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study

Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study

Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study

Authors of this article:

Rong Wu1 Author Orcid Image ;   Yu Zhang1 Author Orcid Image ;   Peijie Huang2 Author Orcid Image ;   Yiying Xie2 Author Orcid Image ;   Jianxun Wang3 Author Orcid Image ;   Shuangyong Wang4 Author Orcid Image ;   Qiuxia Lin1 Author Orcid Image ;   Yichen Bai1 Author Orcid Image ;   Songfu Feng1 Author Orcid Image ;   Nian Cai2 Author Orcid Image ;   Xiaohe Lu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Bharathy K, Anoop V. Early detection of retinopathy of prematurity using a CNN-LSTM-attention model: A non-invasive risk classification approach. Biomedical Signal Processing and Control 2026;113:108950 View
  2. Kong H, Zhou G, Yang Y, Li J, Xu Y, Liu Y, Sun X, Hu Y, Liang A, Fang Y, Li Y, Yu H, Sun W, Wu Q. Prediction Models for Recurrence of Retinopathy of Prematurity after Intravitreal Ranibizumab or Laser Photocoagulation Treatment: A Multicenter Cohort Study. Ophthalmology and Therapy 2025 View