Optical coherence tomography in the management of diabetic macular oedema

SKH Szeto, TYY Lai, S Vujosevic, JK Sun… - Progress in Retinal and …, 2024 - Elsevier
Diabetic macular oedema (DMO) is the major cause of visual impairment in people with
diabetes. Optical coherence tomography (OCT) is now the most widely used modality to …

Artificial intelligence in retinal image analysis: Development, advances, and challenges

AC Oganov, I Seddon, S Jabbehdari, OE Uner… - Survey of …, 2023 - Elsevier
Modern advances in diagnostic technologies offer the potential for unprecedented insight
into ophthalmic conditions relating to the retina. We discuss the current landscape of artificial …

[HTML][HTML] A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema

M Zubair, M Umair, RA Naqvi, D Hussain… - Journal of King Saud …, 2023 - Elsevier
Diabetic macular edema (DME) is a condition of retinal swelling due to the accumulation of
leaked plasma in the extracellular space in the retina, known as the macula. DME is a …

Validation of an automated artificial intelligence algorithm for the quantification of major OCT parameters in diabetic macular edema

E Midena, L Toto, L Frizziero, G Covello… - Journal of clinical …, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL)-based systems have gained wide interest
in macular disorders, including diabetic macular edema (DME). This paper aims to validate …

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina

YS Bazargani, M Mirzaei, N Sobhi, M Abdollahi… - arXiv preprint arXiv …, 2024 - arxiv.org
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and
vasculature reflect the body's micro-and macrovascular health. They can be used to …

[HTML][HTML] Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future

M Kong, SJ Song - Endocrinology and Metabolism, 2024 - synapse.koreamed.org
Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause
of vision loss globally. A prompt and accurate diagnosis is crucial for ensuring favorable …

Retina fundus photograph-based artificial intelligence algorithms in medicine: a systematic review

A Grzybowski, K Jin, J Zhou, X Pan, M Wang… - Ophthalmology and …, 2024 - Springer
We conducted a systematic review of research in artificial intelligence (AI) for retinal fundus
photographic images. We highlighted the use of various AI algorithms, including deep …

Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data

R Shi, X Leng, Y Wu, S Zhu, X Cai, X Lu - Scientific Reports, 2023 - nature.com
The objective of this retrospective study was to predict short-term efficacy of anti-vascular
endothelial growth factor (VEGF) treatment in diabetic macular edema (DME) using machine …

A combined U-Net and multi-class support vector machine learning models for diabetic retinopathy macula edema segmentation and classification DME

P Udayaraju, KS Murthy, P Jeyanthi, BVSR Raju… - Soft Computing, 2023 - Springer
Diabetic retinopathy is one of the major eye problems caused by defects in the blood
vessels that occur in retinal tissues. Uncontrolled blood sugar makes diabetic retinopathy …

Recommendations for diabetic macular edema management by retina specialists and large language model-based artificial intelligence platforms

A Choudhary, N Gopalakrishnan, A Joshi… - International Journal of …, 2024 - Springer
Purpose To study the role of artificial intelligence (AI) in developing diabetic macular edema
(DME) management recommendations by creating and comparing responses to clinicians in …