AIMC Topic: Tomography, Optical Coherence
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[Use of artificial intelligence in geographic atrophy in age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
The first regulatory approval of treatment for geographic atrophy (GA) secondary to age-related macular degeneration in the USA constitutes an important milestone; however, due to the nature of GA as a non-acute, insidiously progressing pathology, th...
Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.
Scientific reports
Jul 31, 2024
Several studies published so far used highly selective image datasets from unclear sources to train computer vision models and that may lead to overestimated results, while those studies conducted in real-life remain scarce. To avoid image selection ...
Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning.
The British journal of ophthalmology
Jul 23, 2024
BACKGROUND: Deep learning (DL) is promising to detect glaucoma. However, patients' privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) ...
Deep Learning-Enabled Vasculometry Depicts Phased Lesion Patterns in High Myopia Progression.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jul 23, 2024
PURPOSE: To investigate the potential phases in myopic retinal vascular alterations for further elucidating the mechanisms underlying the progression of high myopia (HM).
Advances in artificial intelligence for meibomian gland evaluation: A comprehensive review.
Survey of ophthalmology
Jul 23, 2024
Meibomian gland dysfunction (MGD) is increasingly recognized as a critical contributor to evaporative dry eye, significantly impacting visual quality. With a global prevalence estimated at 35.8 %, it presents substantial challenges for clinicians. Co...
Predicting postoperative visual acuity in epiretinal membrane patients and visualization of the contribution of explanatory variables in a machine learning model.
PloS one
Jul 22, 2024
BACKGROUND: The purpose of this study was to develop a model that can predict the postoperative visual acuity in eyes that had undergone vitrectomy for an epiretinal membrane (ERM). The Light Gradient Boosting Machine (LightGBM) was used to evaluate ...
A deep learning approach to hard exudates detection and disorganization of retinal inner layers identification on OCT images.
Scientific reports
Jul 19, 2024
The purpose of the study was to detect Hard Exudates (HE) and classify Disorganization of Retinal Inner Layers (DRIL) implementing a Deep Learning (DL) system on optical coherence tomography (OCT) images of eyes with diabetic macular edema (DME). We ...
Bifurcation detection in intravascular optical coherence tomography using vision transformer based deep learning.
Physics in medicine and biology
Jul 18, 2024
. Bifurcation detection in intravascular optical coherence tomography (IVOCT) images plays a significant role in guiding optimal revascularization strategies for percutaneous coronary intervention (PCI). We propose a bifurcation detection method usin...
[OCT biomarkers in diabetic maculopathy and artificial intelligence].
Die Ophthalmologie
Jul 16, 2024
Diabetes mellitus is a chronic disease the microvascular complications of which include diabetic retinopathy and maculopathy. Diabetic macular edema, proliferative diabetic retinopathy, and diabetic macular ischemia pose a threat to visual acuity. Ar...
Role of artificial intelligence, machine learning and deep learning models in corneal disorders - A narrative review.
Journal francais d'ophtalmologie
Jul 15, 2024
In the last decade, artificial intelligence (AI) has significantly impacted ophthalmology, particularly in managing corneal diseases, a major reversible cause of blindness. This review explores AI's transformative role in the corneal subspecialty, wh...
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