AIMC Topic: Eye Diseases
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Automatic detection of rare pathologies in fundus photographs using few-shot learning.
Medical image analysis
Jan 28, 2020
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to train automatic detectors for DR and a few other frequent pathologies, w...
Ophthalmic diagnosis using deep learning with fundus images - A critical review.
Artificial intelligence in medicine
Nov 22, 2019
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus images is presented. We describe various retinal image datasets that can be used for deep learning purposes. Applications of deep learning for segmentation...
Triaging ophthalmology outpatient referrals with machine learning: A pilot study.
Clinical & experimental ophthalmology
Nov 14, 2019
IMPORTANCE: Triaging of outpatient referrals to ophthalmology services is required for the maintenance of patient care and appropriate resource allocation. Machine learning (ML), in particular natural language processing, may be able to assist with t...
An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.
Ophthalmology
Sep 21, 2019
Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
May 31, 2019
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with va...
Deep learning in ophthalmology: The technical and clinical considerations.
Progress in retinal and eye research
Apr 29, 2019
The advent of computer graphic processing units, improvement in mathematical models and availability of big data has allowed artificial intelligence (AI) using machine learning (ML) and deep learning (DL) techniques to achieve robust performance for ...
Artificial Intelligence and Optical Coherence Tomography Imaging.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Apr 18, 2019
This review article aimed to highlight the application and use of artificial intelligence (AI) in optical coherence tomography (OCT) imaging in ophthalmology. Artificial intelligence programs seek to simulate intelligent human behavior in computers. ...
An ontological foundation for ocular phenotypes and rare eye diseases.
Orphanet journal of rare diseases
Jan 9, 2019
BACKGROUND: The optical accessibility of the eye and technological advances in ophthalmic diagnostics have put ophthalmology at the forefront of data-driven medicine. The focus of this study is rare eye disorders, a group of conditions whose clinical...
Promoting Eye Health in Low-Resource Areas by "Doing More With Less".
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Dec 12, 2018
An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative Study.
Journal of medical Internet research
Nov 14, 2018
BACKGROUND: Although artificial intelligence performs promisingly in medicine, few automatic disease diagnosis platforms can clearly explain why a specific medical decision is made.
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