AIMC Topic: Retinal Diseases
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Role of Artificial Intelligence in Retinal Diseases.
Klinische Monatsblatter fur Augenheilkunde
Sep 16, 2024
Artificial intelligence (AI) has already found its way into ophthalmology, with the first approved algorithms that can be used in clinical routine. Retinal diseases in particular are proving to be an important area of application for AI, as they are ...
SCINet: A Segmentation and Classification Interaction CNN Method for Arteriosclerotic Retinopathy Grading.
Interdisciplinary sciences, computational life sciences
Sep 2, 2024
As a common disease, cardiovascular and cerebrovascular diseases pose a great harm threat to human wellness. Even using advanced and comprehensive treatment methods, there is still a high mortality rate. Arteriosclerosis, as an important factor refle...
Artificial intelligence for retinal diseases.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Aug 27, 2024
PURPOSE: To discuss the worldwide applications and potential impact of artificial intelligence (AI) for the diagnosis, management and analysis of treatment outcomes of common retinal diseases.
ChatGPT and retinal disease: a cross-sectional study on AI comprehension of clinical guidelines.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Aug 1, 2024
OBJECTIVE: To evaluate the performance of an artificial intelligence (AI) large language model, ChatGPT (version 4.0), for common retinal diseases, in accordance with the American Academy of Ophthalmology (AAO) Preferred Practice Pattern (PPP) guidel...
A deep learning framework for the early detection of multi-retinal diseases.
PloS one
Jul 25, 2024
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Qu...
A hybrid model for the detection of retinal disorders using artificial intelligence techniques.
Biomedical physics & engineering express
Jul 10, 2024
The prevalence of vision impairment is increasing at an alarming rate. The goal of the study was to create an automated method that uses optical coherence tomography (OCT) to classify retinal disorders into four categories: choroidal neovascularizati...
Protocol for performing deep learning-based fundus fluorescein angiography image analysis with classification and segmentation tasks.
STAR protocols
Jun 19, 2024
Fundus fluorescein angiography (FFA) examinations are widely used in the evaluation of fundus disease conditions to facilitate further treatment suggestions. Here, we present a protocol for performing deep learning-based FFA image analytics with clas...
RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.
Journal of imaging informatics in medicine
Jun 14, 2024
Retinal diseases stand as a primary cause of childhood blindness. Analyzing the progression of these diseases requires close attention to lesion morphology and spatial information. Standard image registration methods fail to accurately reconstruct pe...
Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer.
Medical & biological engineering & computing
Jun 14, 2024
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus images are used as the gold diagnosis standard in detecting retinal diseases. In recent years, more a...
HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images.
Computers in biology and medicine
Jun 9, 2024
Retinal diseases are among nowadays major public health issues, deservedly needing advanced computer-aided diagnosis. We propose a hybrid model for multi label classification, whereby seven retinal diseases are automatically classified from Optical C...
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