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JAMA Ophthalmology
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May 9, 2024
Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months
Dun Jack Fu, Pallavi Bagga, Gunjan Naik, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
Translational Psychiatry
|
November 1, 2025
Optic disc morphometrics as a potential ocular biomarker for depression: evidence from two cross-sectional cohort studies
Xiayin Zhang, Shan Wang, Yan Wang, et al.
The Lancet. Digital Health
|
December 16, 2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U Kale, et al.
The Journal of Surgical Research
|
May 15, 2024
Improving Accuracy of Administrative Data for Perforated Appendicitis Classification
Martha-Conley Ingram, Andrew Hu, Ruth Lewit, et al.
BMJ Open
|
January 24, 2024
Adalimumab vs placebo as add-on to Standard Therapy for autoimmune Uveitis: Tolerability, Effectiveness and cost-effectiveness-a protocol for a randomised controlled trial (ASTUTE trial)
Mae Hazell, Barnaby Reeves, Chris A Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 29, 2025
Ophthalmic imaging as a measure of cardiovascular and neurological health: a multi-omic analysis of deep-learning derived phenotypes
Thomas H Julian, Haoran Dou, Jinming Duan, et al.
Nature Cardiovascular Research
|
June 16, 2026
Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits
Thomas H Julian, Haoran Dou, Jinming Duan, et al.
Retina (Philadelphia, Pa.)
|
November 15, 2017
PERIPAPILLARY PACHYCHOROID SYNDROME
Nopasak Phasukkijwatana, K Bailey Freund, Rosa Dolz-Marco, et al.
Nature Communications
|
January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
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of 59
Search research articles
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Showing results (511-520 of 581) with videos related to
Sort By:
Page
of 59
JAMA Ophthalmology
|
May 9, 2024
Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months
Dun Jack Fu, Pallavi Bagga, Gunjan Naik, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
Translational Psychiatry
|
November 1, 2025
Optic disc morphometrics as a potential ocular biomarker for depression: evidence from two cross-sectional cohort studies
Xiayin Zhang, Shan Wang, Yan Wang, et al.
The Lancet. Digital Health
|
December 16, 2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U Kale, et al.
The Journal of Surgical Research
|
May 15, 2024
Improving Accuracy of Administrative Data for Perforated Appendicitis Classification
Martha-Conley Ingram, Andrew Hu, Ruth Lewit, et al.
BMJ Open
|
January 24, 2024
Adalimumab vs placebo as add-on to Standard Therapy for autoimmune Uveitis: Tolerability, Effectiveness and cost-effectiveness-a protocol for a randomised controlled trial (ASTUTE trial)
Mae Hazell, Barnaby Reeves, Chris A Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 29, 2025
Ophthalmic imaging as a measure of cardiovascular and neurological health: a multi-omic analysis of deep-learning derived phenotypes
Thomas H Julian, Haoran Dou, Jinming Duan, et al.
Nature Cardiovascular Research
|
June 16, 2026
Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits
Thomas H Julian, Haoran Dou, Jinming Duan, et al.
Retina (Philadelphia, Pa.)
|
November 15, 2017
PERIPAPILLARY PACHYCHOROID SYNDROME
Nopasak Phasukkijwatana, K Bailey Freund, Rosa Dolz-Marco, et al.
Nature Communications
|
January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
Page
of 59