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Showing results (541-550 of 581) with videos related to

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Ophthalmology Science|April 1, 2024
Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank CohortSiegfried K Wagner, Praveen J Patel, Josef Huemer, et al.
Health Technology Assessment (Winchester, England)|December 22, 2025
Tele-ophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease: HERMES cluster randomised trial with a diagnostic accuracy studyAnitta Sharma, Rima Hussain, Annastazia E Learoyd, et al.
Progress in Retinal and Eye Research|March 23, 2026
Quantification of retinal microvascular imaging features from fundus photos in ocular and systemic disease: a framework for standardizationFrank C T van der Heide, Youba Zamoum, Mehdi Ounissi, et al.
Nature Medicine|May 20, 2020
Predicting conversion to wet age-related macular degeneration using deep learningJason Yim, Reena Chopra, Terry Spitz, et al.
NPJ Digital Medicine|November 27, 2025
Understanding the robustness of vision-language models to medical image artefactsZijie Cheng, Ariel Yuhan Ong, Siegfried K Wagner, et al.
Eye (London, England)|July 16, 2016
The UK Neovascular AMD Database Report 3: inter-centre variation in visual acuity outcomes and establishing real-world measures of careG Liew, A Y Lee, J Zarranz-Ventura, et al.
The Journal of Law, Medicine & Ethics : a Journal of the American Society of Law, Medicine & Ethics|January 8, 2013
Recommendations for nanomedicine human subjects research oversight: an evolutionary approach for an emerging fieldLeili Fatehi, Susan M Wolf, Jeffrey McCullough, et al.
NPJ Digital Medicine|July 2, 2026
Physicians and artificial intelligence diverge in evaluating large language models on real clinical casesPeilun Shi, Jian Li, Ziqi Yang, et al.
The Journal of Law, Medicine & Ethics : a Journal of the American Society of Law, Medicine & Ethics|June 13, 2008
Managing incidental findings in human subjects research: analysis and recommendationsSusan M Wolf, Frances P Lawrenz, Charles A Nelson, et al.
Journal of Biophotonics|October 5, 2023
Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentationPeter M Maloca, Maximilian Pfau, Lucas Janeschitz-Kriegl, et al.
Pageof 59

Showing results (541-550 of 581) with videos related to

Sort By:
Pageof 59
Ophthalmology Science|April 1, 2024
Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank CohortSiegfried K Wagner, Praveen J Patel, Josef Huemer, et al.
Health Technology Assessment (Winchester, England)|December 22, 2025
Tele-ophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease: HERMES cluster randomised trial with a diagnostic accuracy studyAnitta Sharma, Rima Hussain, Annastazia E Learoyd, et al.
Progress in Retinal and Eye Research|March 23, 2026
Quantification of retinal microvascular imaging features from fundus photos in ocular and systemic disease: a framework for standardizationFrank C T van der Heide, Youba Zamoum, Mehdi Ounissi, et al.
Nature Medicine|May 20, 2020
Predicting conversion to wet age-related macular degeneration using deep learningJason Yim, Reena Chopra, Terry Spitz, et al.
NPJ Digital Medicine|November 27, 2025
Understanding the robustness of vision-language models to medical image artefactsZijie Cheng, Ariel Yuhan Ong, Siegfried K Wagner, et al.
Eye (London, England)|July 16, 2016
The UK Neovascular AMD Database Report 3: inter-centre variation in visual acuity outcomes and establishing real-world measures of careG Liew, A Y Lee, J Zarranz-Ventura, et al.
The Journal of Law, Medicine & Ethics : a Journal of the American Society of Law, Medicine & Ethics|January 8, 2013
Recommendations for nanomedicine human subjects research oversight: an evolutionary approach for an emerging fieldLeili Fatehi, Susan M Wolf, Jeffrey McCullough, et al.
NPJ Digital Medicine|July 2, 2026
Physicians and artificial intelligence diverge in evaluating large language models on real clinical casesPeilun Shi, Jian Li, Ziqi Yang, et al.
The Journal of Law, Medicine & Ethics : a Journal of the American Society of Law, Medicine & Ethics|June 13, 2008
Managing incidental findings in human subjects research: analysis and recommendationsSusan M Wolf, Frances P Lawrenz, Charles A Nelson, et al.
Journal of Biophotonics|October 5, 2023
Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentationPeter M Maloca, Maximilian Pfau, Lucas Janeschitz-Kriegl, et al.
Pageof 59