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Eye (London, England)
|
October 27, 2022
Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs
Xiang Ren, Wei Feng, Ruijin Ran, et al.
Science China. Life Sciences
|
July 18, 2025
Automatic quantification, grading and five-year prediction of myopic fundus tessellation: a multi-center, longitudinal deep learning study
Wen-Da Zhou, Li Dong, Wen-Xue Li, et al.
Frontiers in Medicine
|
June 27, 2022
An Intelligent Diagnostic System for Thyroid-Associated Ophthalmopathy Based on Facial Images
Xiao Huang, Lie Ju, Jian Li, et al.
Retina (Philadelphia, Pa.)
|
November 16, 2023
ASSOCIATION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study
Ruoyan Wei, Jun Li, Weiming Yang, et al.
Frontiers in Medicine
|
June 18, 2025
Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images
Haodong Xiao, Lie Ju, Zupeng Lu, et al.
Heart Rhythm O2
|
June 11, 2025
Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs
Zhen Wang, Mingxiao Li, Peng Xia, et al.
Nature Medicine
|
June 6, 2025
A multimodal vision foundation model for clinical dermatology
Siyuan Yan, Zhen Yu, Clare Primiero, et al.
NPJ Digital Medicine
|
November 27, 2025
Understanding the robustness of vision-language models to medical image artefacts
Zijie Cheng, Ariel Yuhan Ong, Siegfried K Wagner, et al.
NPJ Digital Medicine
|
July 2, 2026
Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases
Peilun Shi, Jian Li, Ziqi Yang, et al.
Nature Communications
|
March 1, 2026
Understanding pre-training data effects in retinal foundation models using two large fundus cohorts
Yukun Zhou, Zheyuan Wang, Yilan Wu, et al.
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of 5
Search research articles
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Showing results (41-50 of 50) with videos related to
Sort By:
Page
of 5
You have reached the last page of results.
This site can display upto 50 results.
Eye (London, England)
|
October 27, 2022
Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs
Xiang Ren, Wei Feng, Ruijin Ran, et al.
Science China. Life Sciences
|
July 18, 2025
Automatic quantification, grading and five-year prediction of myopic fundus tessellation: a multi-center, longitudinal deep learning study
Wen-Da Zhou, Li Dong, Wen-Xue Li, et al.
Frontiers in Medicine
|
June 27, 2022
An Intelligent Diagnostic System for Thyroid-Associated Ophthalmopathy Based on Facial Images
Xiao Huang, Lie Ju, Jian Li, et al.
Retina (Philadelphia, Pa.)
|
November 16, 2023
ASSOCIATION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study
Ruoyan Wei, Jun Li, Weiming Yang, et al.
Frontiers in Medicine
|
June 18, 2025
Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images
Haodong Xiao, Lie Ju, Zupeng Lu, et al.
Heart Rhythm O2
|
June 11, 2025
Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs
Zhen Wang, Mingxiao Li, Peng Xia, et al.
Nature Medicine
|
June 6, 2025
A multimodal vision foundation model for clinical dermatology
Siyuan Yan, Zhen Yu, Clare Primiero, et al.
NPJ Digital Medicine
|
November 27, 2025
Understanding the robustness of vision-language models to medical image artefacts
Zijie Cheng, Ariel Yuhan Ong, Siegfried K Wagner, et al.
NPJ Digital Medicine
|
July 2, 2026
Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases
Peilun Shi, Jian Li, Ziqi Yang, et al.
Nature Communications
|
March 1, 2026
Understanding pre-training data effects in retinal foundation models using two large fundus cohorts
Yukun Zhou, Zheyuan Wang, Yilan Wu, et al.
Page
of 5