Artificial intelligence with deep learning technology looks into diabetic retinopathy screening

TY Wong, NM Bressler - Jama, 2016 - jamanetwork.com
Diabetic retinopathy is a leading cause of vision loss in the United States and globally,
particularly among working-aged individuals. Diabetic retinopathy meets all the criteria for …

Artificial intelligence screening for diabetic retinopathy: the real-world emerging application

V Bellemo, G Lim, TH Rim, GSW Tan… - Current Diabetes …, 2019 - Springer
Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …

Diabetic retinopathy detection using deep learning

QH Nguyen, R Muthuraman, L Singh, G Sen… - Proceedings of the 4th …, 2020 - dl.acm.org
Diabetic Retinopathy (DR) is an eye disease associated with chronic diabetes. DR is the
leading cause of blindness among working aged adults around the world and estimated it …

Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy

X Huang, H Wang, C She, J Feng, X Liu, X Hu… - Frontiers in …, 2022 - frontiersin.org
Deep learning evolves into a new form of machine learning technology that is classified
under artificial intelligence (AI), which has substantial potential for large-scale healthcare …

[HTML][HTML] Diabetic retinopathy detection through deep learning techniques: A review

WL Alyoubi, WM Shalash, MF Abulkhair - Informatics in Medicine Unlocked, 2020 - Elsevier
Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Validation of deep convolutional neural network-based algorithm for detection of diabetic retinopathy–artificial intelligence versus clinician for screening

P Shah, DK Mishra, MP Shanmugam… - Indian journal of …, 2020 - journals.lww.com
Purpose: Deep learning is a newer and advanced subfield in artificial intelligence (AI). The
aim of our study is to validate a machine-based algorithm developed based on deep …

Untangling computer-aided diagnostic system for screening diabetic retinopathy based on deep learning techniques

MS Farooq, A Arooj, R Alroobaea, AM Baqasah… - Sensors, 2022 - mdpi.com
Diabetic Retinopathy (DR) is a predominant cause of visual impairment and loss.
Approximately 285 million worldwide population is affected with diabetes, and one-third of …

Automated identification of diabetic retinopathy using deep learning

R Gargeya, T Leng - Ophthalmology, 2017 - Elsevier
Purpose Diabetic retinopathy (DR) is one of the leading causes of preventable blindness
globally. Performing retinal screening examinations on all diabetic patients is an unmet …

Diabetic retinopathy screening in the emerging era of artificial intelligence

J Grauslund - Diabetologia, 2022 - Springer
Diabetic retinopathy is a frequent complication in diabetes and a leading cause of visual
impairment. Regular eye screening is imperative to detect sight-threatening stages of …

Artificial intelligence for diabetic retinopathy screening: a review

A Grzybowski, P Brona, G Lim, P Ruamviboonsuk… - Eye, 2020 - nature.com
Diabetes is a global eye health issue. Given the rising in diabetes prevalence and ageing
population, this poses significant challenge to perform diabetic retinopathy (DR) screening …