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

Artificial Intelligence (4443) Tools, Programs and Algorithms (549) Machine Learning (2987) Ophthalmology (105) Assistive Technology for Vision Loss/Impairment (39)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74402, first published .
AI strabismus examination screen vs. traditional eye exam chart

Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

Authors of this article:

Dawen Wu1 Author Orcid Image ;   Yanfei Li2 Author Orcid Image ;   Zeyi Yang1 Author Orcid Image ;   Teng Yin2 Author Orcid Image ;   Xiaohang Chen1 Author Orcid Image ;   Jingyu Liu2 Author Orcid Image ;   Wenyi Shang2 Author Orcid Image ;   Bin Xie1 Author Orcid Image ;   Guoyuan Yang1 Author Orcid Image ;   Haixian Zhang2 Author Orcid Image ;   Longqian Liu1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Baytaroğlu A, Çiftci Ş. Pilot Validation of ChatGPT-Based Strabismus Assessment Using 9Gaze Photographs: A Single-Center Feasibility Study. Ege Tıp Bilimleri Dergisi 2025;8(3):155 View
  3. Jiao L, Yan W, Hu Y, Li D, Xie Z, Pan Z, Guo Q, Yan X, Wu X, Wu Q. Magnetic droplet carrier robot integrated with AI-fueled on-site detection. Chemical Engineering Journal 2026;542:178067 View