About The Study: In this cross-sectional study, the artificial intelligence (AI) model demonstrated strong performance in accurately identifying myopia, strabismus, and ptosis using only smartphone images. These results suggest that such a model could facilitate the early detection of pediatric eye diseases in a convenient manner at home.
About The Study: In this cross-sectional study, the artificial intelligence (AI) model demonstrated strong performance in accurately identifying myopia, strabismus, and ptosis using only smartphone images. These results suggest that such a model could facilitate the early detection of pediatric eye diseases in a convenient manner at home.
Corresponding Authors: To contact the corresponding authors, email Lin Li, MD, PhD (jannetlee130@gmail.com), and Jie Xu, DHM (xujie@pjlab.org.cn).
To access the embargoed study: Visit our For The Media website at this link
(doi:10.1001/jamanetworkopen.2024.25124)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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Journal
JAMA Network Open
Cite Scienmag News
Harold Sullivan. (August 6, 2024). AI for early detection of pediatric eye diseases using mobile photos. Scienmag. https://scienmag.com/ai-for-early-detection-of-pediatric-eye-diseases-using-mobile-photos/
Harold Sullivan. "AI for early detection of pediatric eye diseases using mobile photos." Scienmag, 6 August 2024, https://scienmag.com/ai-for-early-detection-of-pediatric-eye-diseases-using-mobile-photos/. Accessed 3 September 2026.
Harold Sullivan. "AI for early detection of pediatric eye diseases using mobile photos." Scienmag. August 6, 2024. https://scienmag.com/ai-for-early-detection-of-pediatric-eye-diseases-using-mobile-photos/
