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Academic Articles & Research Papers
Showing 20 of 85 academic articles
Dora Hamad S. AlHarkan • Oman Journal of Ophthalmology
(2024)
PURPOSE
To estimate the level and determinants of knowledge, attitude, and practices (KAPs) of kindergarten teachers regarding vision and eye screening of preschool children of Qassim region of Saudi Arabia.
METHODS
As a part of a study to ...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/ojo.ojo_260_23
Manjaly C, Alfauri H, Santoki A, Kikuta N et al. • Ophthalmology Science
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.xops.2026.101416
PMC: PMC13734878
Sato T • Clinical Ophthalmology (Auckland, N.Z.)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2147/OPTH.S651914
PMC: PMC13738256
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, Cynthia Recendez et al. • Frontiers in Cell and Developmental Biology
(2024)
Macrophages can exhibit pro-inflammatory or pro-reparatory functions, contingent upon their specific activation state. This dynamic behavior empowers macrophages to engage in immune reactions and contribute to tissue homeostasis. Understand...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcell.2024.1259037
Clayton Blehm, Seema Vishnu, Ashbala Khattak, Shrabanee Mitra et al. • Survey of Ophthalmology
(2005)
OPENALEX
DOI: https://doi.org/10.1016/j.survophthal.2005.02.008
Jin Mo Ahn, Sangsoo Kim, Kwang-Sung Ahn, Sung-Hoon Cho et al. • BMC Ophthalmology
(2019)
Abstract Background This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals. Methods Two hundred and ninety-five images of optic neuropathies, 295 images...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12886-019-1184-0
von der Emde L, Hou J, Mukherjee S, Vance E et al. • JAMA ophthalmology
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1001/jamaophthalmol.2025.3979
PMC: PMC12593667
Ehsan Rahimy • Current Opinion in Ophthalmology
(2018)
PURPOSE OF REVIEW: To describe the emerging applications of deep learning in ophthalmology. RECENT FINDINGS: Recent studies have shown that various deep learning models are capable of detecting and diagnosing various diseases afflicting the...
OPENALEX
DOI: https://doi.org/10.1097/icu.0000000000000470
Bodur MF, Koçak N, Eser-Ozturk H, Sullu Y • Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1007/s00417-026-07292-3
PMC: PMC13736355
Parampal S. Grewal, Faraz Oloumi, Uriel Rubin, MATTHEW T. S. TENNANT • Canadian Journal of Ophthalmology
(2018)
OPENALEX
DOI: https://doi.org/10.1016/j.jcjo.2018.04.019
Andre Esteva, Katherine Chou, Serena Y. Yeung, Nikhil Naik et al. • npj Digital Medicine
(2021)
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields-including medicine-to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in th...
OPENALEX
cc-by
DOI: https://doi.org/10.1038/s41746-020-00376-2
PMC: 7794558
Theodore Spaide, PhD, Anand E. Rajesh, MD, Nayoon Gim, Marian Blazes, MD et al. • Ophthalmology Science
(2025)
Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participant...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.xops.2024.100587
Wannasupaphol S, Thanaboonyawat S, Choontanom R • BMJ open ophthalmology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1136/bmjophth-2026-003021
PMC: PMC13735302
Aaron Lee, Paul M. Taylor, Jayashree Kalpathy–Cramer, Adnan Tufail • Ophthalmology
(2017)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.ophtha.2017.08.046
Rene Y Choi, Aaron S. Coyner, Jayashree Kalpathy–Cramer, Michael F Chiang et al. • PubMed Central
(2020)
Purpose: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. Methods: A systematic literature search in PubMed was ...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1167/tvst.9.2.14
PMC: 7347027
Avram O, Shwartz Y, Green A, Bloom R et al. • Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1007/s00417-026-07205-4
PMC: PMC13715841
Prashant D. Tailor, MD, Piotr K. Kopinski, MD, PhD, Haley S. D’Souza, MD, David A. Leske, MS et al. • Ophthalmology Science
(2025)
Purpose: To develop and validate machine learning (ML) models to predict choroidal nevus transformation to melanoma based on multimodal imaging at initial presentation. Design: Retrospective multicenter study. Participants: Patients diagnos...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.xops.2024.100584
Mejía-Salgado G, Rojas-Carabali W, Cifuentes-González C, Téllez-Zambrano J et al. • Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1007/s00417-026-07334-w
PMC: PMC13736476
Fang Lin, Yuxing Su, Chenxi Zhao, Farhana Akter et al. • Frontiers in Medicine
(2025)
Visual impairment, stemming from genetic, degenerative, and traumatic causes, affects millions globally. Recent advancements in ophthalmology present novel strategies for managing and potentially reversing these conditions. Here, we explore...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2025.1567159
Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski • Life
(2025)
Purpose: To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (M...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/life15010045