Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology

L Balyen, T Peto - The Asia-Pacific Journal of Ophthalmology, 2019 - journals.lww.com
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 …

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

DSJ Ting, VHX Foo, LWY Yang, JT Sia… - British journal of …, 2021 - bjo.bmj.com
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

Evaluation of stacking and blending ensemble learning methods for estimating daily reference evapotranspiration

T Wu, W Zhang, X Jiao, W Guo, YA Hamoud - Computers and Electronics in …, 2021 - Elsevier
Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …

A foundation language-image model of the retina (flair): Encoding expert knowledge in text supervision

J Silva-Rodriguez, H Chakor, R Kobbi, J Dolz… - Medical Image …, 2025 - Elsevier
Foundation vision-language models are currently transforming computer vision, and are on
the rise in medical imaging fueled by their very promising generalization capabilities …

CataractNet: An automated cataract detection system using deep learning for fundus images

MS Junayed, MB Islam, A Sadeghzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

E Long, H Lin, Z Liu, X Wu, L Wang, J Jiang… - Nature biomedical …, 2017 - nature.com
Using artificial intelligence (AI) to prevent and treat diseases is an ultimate goal in
computational medicine. Although AI has been developed for screening and assisted …

Automatic detection of diabetic eye disease through deep learning using fundus images: a survey

R Sarki, K Ahmed, H Wang, Y Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …

Application of artificial intelligence in cataract management: current and future directions

L Gutierrez, JS Lim, LL Foo, WY Ng, M Yip, GYS Lim… - Eye and Vision, 2022 - Springer
The rise of artificial intelligence (AI) has brought breakthroughs in many areas of medicine.
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …

Computer-aided diagnosis of cataract using deep transfer learning

T Pratap, P Kokil - Biomedical Signal Processing and Control, 2019 - Elsevier
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …

Automated classification of Pap smear images to detect cervical dysplasia

K Bora, M Chowdhury, LB Mahanta, MK Kundu… - Computer methods and …, 2017 - Elsevier
Background and objectives The present study proposes an intelligent system for automatic
categorization of Pap smear images to detect cervical dysplasia, which has been an open …