AIMC Topic: Retina
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Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls.
Seminars in ophthalmology
Dec 13, 2023
Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory processes, demyelination, neurodegeneration, and axonal damage within the central nervous system (CNS). Retinal imaging, particularly Optical coherence tomography (...
Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.
The Journal of craniofacial surgery
Dec 11, 2023
BACKGROUND: The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensive examination, including clinical symptoms, radiological examinations, and blood tests. Therefore, cost-effective and noninvasive methods for the dete...
Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model.
Computers in biology and medicine
Dec 11, 2023
Diabetic retinopathy (DR) is a significant cause of vision impairment, emphasizing the critical need for early detection and timely intervention to avert visual deterioration. Diagnosing DR is inherently complex, as it necessitates the meticulous exa...
Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity.
Medical & biological engineering & computing
Dec 7, 2023
Retinal vascular tortuosity is an excessive bending and twisting of the blood vessels in the retina that is associated with numerous health conditions. We propose a novel methodology for the automated assessment of the retinal vascular tortuosity fro...
Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning.
BMC ophthalmology
Dec 7, 2023
BACKGROUND: To predict, using deep learning, the first recurrence in patients with neovascular age-related macular degeneration (nAMD) after three monthly loading injections of intravitreal anti-vascular endothelial growth factor (anti-VEGF).
Deep learning-based prediction of the retinal structural alterations after epiretinal membrane surgery.
Scientific reports
Nov 6, 2023
To generate and evaluate synthesized postoperative OCT images of epiretinal membrane (ERM) based on preoperative OCT images using deep learning methodology. This study included a total 500 pairs of preoperative and postoperative optical coherence tom...
Robotic cell processing facility for clinical research of retinal cell therapy.
SLAS technology
Oct 29, 2023
The consistent production of high-quality cells in cell therapy highlights the potential of automated manufacturing. Humanoid robots are a useful option for transferring technology to automate human cell cultures. This study evaluated a robotic cell-...
Retina Oculomics in Neurodegenerative Disease.
Annals of biomedical engineering
Oct 19, 2023
Ophthalmic biomarkers have long played a critical role in diagnosing and managing ocular diseases. Oculomics has emerged as a field that utilizes ocular imaging biomarkers to provide insights into systemic diseases. Advances in diagnostic and imaging...
Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists.
Eye (London, England)
Oct 17, 2023
BACKGROUND: Epiretinal membrane (ERM) is a common age-related retinal disease detected by optical coherence tomography (OCT), with a prevalence of 34.1% among people over 60 years old. This study aims to develop artificial intelligence (AI) systems t...
The effect of optical degradation from cataract using a new Deep Learning optical coherence tomography segmentation algorithm.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Oct 16, 2023
PURPOSE: To assess the validity of the results of a freely available online Deep Learning segmentation tool and its sensitivity to noise introduced by cataract.
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