AIMC Topic: Retinal Diseases
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Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis.
Cell reports. Medicine
Dec 19, 2024
Inability to express the confidence level and detect unseen disease classes limits the clinical implementation of artificial intelligence in the real world. We develop a foundation model with uncertainty estimation (FMUE) to detect 16 retinal conditi...
Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ultrasound images.
BMJ open ophthalmology
Dec 11, 2024
AIM: To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus diseases using ocular B-scan ultrasound images.
Evaluating deep learning models for classifying OCT images with limited data and noisy labels.
Scientific reports
Dec 5, 2024
The use of deep learning for OCT image classification could enhance the diagnosis and monitoring of retinal diseases. However, challenges like variability in retinal abnormalities, noise, and artifacts in OCT images limit its clinical use. Our study ...
DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization.
IEEE journal of biomedical and health informatics
Dec 5, 2024
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local anatomical landma...
Detection of retinal diseases using an accelerated reused convolutional network.
Computers in biology and medicine
Nov 25, 2024
Convolutional neural networks are continually evolving; with some efforts aimed at improving accuracy, others at increasing speed, and some at enhancing accessibility. Improving accessibility broadens the application of neural networks across a wider...
Applications of artificial intelligence to inherited retinal diseases: A systematic review.
Survey of ophthalmology
Nov 19, 2024
Artificial intelligence(AI)-based methods have been extensively used for the detection and management of various common retinal conditions, but their targeted development for inherited retinal diseases (IRD) is still nascent. In the context of limite...
Cost-effectiveness and cost-utility of community-based blinding fundus diseases screening with artificial intelligence: A modelling study from Shanghai, China.
Computers in biology and medicine
Nov 2, 2024
BACKGROUND: With application of artificial intelligence (AI) in the disease screening, process reengineering occurred simultaneously. Whether process reengineering deserves special emphasis in AI implementation in the community-based blinding fundus ...
Advances in Imaging-Based Machine Learning and Therapeutic Technology in the Management of Retinal Diseases.
Medicina (Kaunas, Lithuania)
Nov 1, 2024
Retinal conditions like age-related macular degeneration (AMD), diabetic retinopathy, central serous chorioretinopathy (CSCR), and retinal vein occlusion can drastically affect a patient's quality of life [...].
A multi-class fundus disease classification system based on an adaptive scale discriminator and hybrid loss.
Computational biology and chemistry
Oct 11, 2024
Fundus images are crucial in the observation and detection of ophthalmic diseases. However, detecting multiple ophthalmic diseases from fundus images using deep learning techniques is a complex and challenging task One challenge is the complexity of ...
Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images.
The British journal of ophthalmology
Sep 20, 2024
BACKGROUND: Artificial intelligence (AI) in medical imaging diagnostics has huge potential, but human judgement is still indispensable. We propose an AI-aided teaching method that leverages generative AI to train students on many images while preserv...
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