Results 211 to 220 of about 2,588,152 (306)

Classification of Inherited Retinal Diseases Using Artificial Intelligence Models for Fundus Autofluorescence and Ultrawide Retinal Images. [PDF]

J Ophthalmol
Trinh H, Ibrahim M, Charng J, Tajbakhsh Z, Chen FK, Mian A, Alam K.   +6 more
europepmc   +1 more source

Evidence for functional convergence between LZTS2 and DYRK1A during craniofacial development

Developmental Dynamics, EarlyView.
Abstract Background Precise control of DYRK1A dosage is essential for embryonic development, including craniofacial morphogenesis. While LZTS2 is among the most consistently identified DYRK1A‐interacting proteins, its roles in embryonic development remain incompletely understood, and its potential contribution to craniofacial development has not been ...
Nicole Cheng, Santiago Lima, Larisa Litovchick, Amanda J. G. Dickinson   +3 more
wiley   +1 more source

Special Issue: Molecular Mechanisms and Treatment of Retinal Diseases. [PDF]

Int J Mol Sci
Lee D, Vitiello L.
europepmc   +1 more source

Optic Nerve Head Measurements Across Optical Coherence Tomography Platforms and Incidental Optic Nerve Head Drusen in Community Screenings

Eye &ENT Research, EarlyView.
ABSTRACT Background Automated vertical cup‐to‐disc ratio (VCDR) measurements are commonly used in optic nerve assessment, but measurements may vary across optical coherence tomography (OCT) platforms, particularly in eyes with atypical optic nerve anatomy such as optic nerve head drusen (ONHD).
Sedra T. Alabed, Aretha Zhu, Bernard C. Szirth, Albert S. Khouri   +3 more
wiley   +1 more source

Advanced therapeutic approaches for inherited retinal diseases: an umbrella review. [PDF]

BMJ Open
Ekemiri K, Daniel E, Seemongal-Dass R, Ekemiri C, Victor V, Amobi M, Adebo O, Tekalign T.   +7 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Gene-Agnostic Therapeutic Strategies for Inherited Retinal Diseases: Neuroprotection and Immunomodulation. [PDF]

Genes (Basel)
Rowe LW, Becerra SP, MacLaren RE, Avery RL, Wykoff CC, Ho AC, Regillo CD, Eliott D, Osborne A, Binley KM, Ciulla TA.   +10 more
europepmc   +1 more source

Artificial Intelligence in Optical Coherence Tomography‐Based Ophthalmic Imaging: From Automated Diagnosis to Personalized Disease Monitoring

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly applied to optical coherence tomography (OCT) in ophthalmology, but evidence for automated diagnosis is stronger than evidence for longitudinal monitoring. This narrative review evaluates OCT‐based AI with emphasis on disease monitoring and progression, particularly in retinal disease and glaucoma ...
Stjepan Škudar
wiley   +1 more source

Angiography-free diagnosis of retinal diseases via interpretable multi-modal learning. [PDF]

NPJ Digit Med
Hao J, Li W, Qi H, Zheng Y, Fu H, Frangi AF, Zhao Y.   +6 more
europepmc   +1 more source

Artificial Intelligence for Distinguishing Glaucoma From Its Mimickers: A Narrative Review of Diagnostic Pitfalls, Validation Gaps, and Clinical Translation

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) has advanced rapidly in glaucoma, but many models remain optimized for case‐control detection rather than the clinically harder task of distinguishing glaucoma from its mimickers. This narrative review primarily examined literature published from January 2018 to March 2026 on glaucoma AI, difficult comparator ...
Cansu Yüksel Elgin
wiley   +1 more source