Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
Current state and future prospects of artificial intelligence in ophthalmology: a review
DT Hogarty, DA Mackey… - Clinical & experimental …, 2019 - Wiley Online Library
Artificial intelligence (AI) has emerged as a major frontier in computer science research.
Although AI has broad application across many medical fields, it will have particular utility in …
Although AI has broad application across many medical fields, it will have particular utility in …
Artificial intelligence in clinical decision support: a focused literature survey
Objectives: This survey analyses the latest literature contributions to clinical decision support
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …
Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review
A Choudhury, E Renjilian, O Asan - JAMIA open, 2020 - academic.oup.com
Objectives Geriatric clinical care is a multidisciplinary assessment designed to evaluate
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …
Hierarchical severity grade classification of non-proliferative diabetic retinopathy
Curability of diabetic retinopathy (DR) abnormalities highly rely on regular monitoring, early-
stage diagnosis and timely treatment. Detection and analysis of variation in eye images can …
stage diagnosis and timely treatment. Detection and analysis of variation in eye images can …
Hybrid CNN-SVD based prominent feature extraction and selection for grading diabetic retinopathy using extreme learning machine algorithm
This paper exploits the extreme learning machine (ELM) approach to address diabetic
retinopathy (DR), a medical condition in which impairment occurs to the retina caused by …
retinopathy (DR), a medical condition in which impairment occurs to the retina caused by …
Diabetic retinopathy detection through artificial intelligent techniques: a review and open issues
U Ishtiaq, S Abdul Kareem, ERMF Abdullah… - Multimedia Tools and …, 2020 - Springer
Diabetic Retinopathy (DR) is the disease caused by uncontrolled diabetes that may lead to
blindness among the patients. Due to the advancements in artificial intelligence, early …
blindness among the patients. Due to the advancements in artificial intelligence, early …
Performance of deep neural network-based artificial intelligence method in diabetic retinopathy screening: a systematic review and meta-analysis of diagnostic test …
Objective Automatic diabetic retinopathy screening system based on neural networks has
been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of …
been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of …
DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased
morbidity and mortality. With a significant portion of cases remaining undiagnosed …
morbidity and mortality. With a significant portion of cases remaining undiagnosed …
Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …