Artificial intelligence-assisted diagnosis of ocular surface diseases

Z Zhang, Y Wang, H Zhang, A Samusak… - Frontiers in Cell and …, 2023 - frontiersin.org
With the rapid development of computer technology, the application of artificial intelligence
(AI) in ophthalmology research has gained prominence in modern medicine. Artificial …

Artificial intelligence and corneal diseases

L Kang, D Ballouz, MA Woodward - Current opinion in …, 2022 - journals.lww.com
Artificial intelligence and corneal diseases : Current Opinion in Ophthalmology Artificial
intelligence and corneal diseases : Current Opinion in Ophthalmology Log in or Register …

Clinical characteristics and outcomes of fungal keratitis in the United Kingdom 2011–2020: a 10-year study

DSJ Ting, M Galal, B Kulkarni, MS Elalfy, D Lake… - Journal of Fungi, 2021 - mdpi.com
Fungal keratitis (FK) is a serious ocular infection that often poses significant diagnostic and
therapeutic dilemmas. This study aimed to examine the causes, clinical characteristics …

Deep learning-based classification of infectious keratitis on slit-lamp images

Z Zhang, H Wang, S Wang, Z Wei… - … in Chronic Disease, 2022 - journals.sagepub.com
Background: Infectious keratitis (IK) is an ocular emergency caused by a variety of
microorganisms, including bacteria, fungi, viruses, and parasites. Culture-based methods …

[HTML][HTML] Image-based differentiation of bacterial and fungal keratitis using deep convolutional neural networks

TK Redd, NV Prajna, M Srinivasan, P Lalitha… - Ophthalmology …, 2022 - Elsevier
Purpose Develop computer vision models for image-based differentiation of bacterial and
fungal corneal ulcers and compare their performance against human experts. Design Cross …

Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study

Z Li, H Xie, Z Wang, D Li, K Chen, X Zong… - NPJ Digital …, 2024 - nature.com
The main cause of corneal blindness worldwide is keratitis, especially the infectious form
caused by bacteria, fungi, viruses, and Acanthamoeba. The key to effective management of …

Advances in artificial intelligence applications for ocular surface diseases diagnosis

Y Ji, S Liu, X Hong, Y Lu, X Wu, K Li, K Li… - Frontiers in Cell and …, 2022 - frontiersin.org
In recent years, with the rapid development of computer technology, continual optimization
of various learning algorithms and architectures, and establishment of numerous large …

Comparisons of deep learning algorithms for diagnosing bacterial keratitis via external eye photographs

MT Kuo, BWY Hsu, YS Lin, PC Fang, HJ Yu, A Chen… - Scientific reports, 2021 - nature.com
Bacterial keratitis (BK), a painful and fulminant bacterial infection of the cornea, is the most
common type of vision-threatening infectious keratitis (IK). A rapid clinical diagnosis by an …

Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis

V Mayya, S Kamath Shevgoor, U Kulkarni, M Hazarika… - Journal of Fungi, 2021 - mdpi.com
Microbial keratitis is an infection of the cornea of the eye that is commonly caused by
prolonged contact lens wear, corneal trauma, pre-existing systemic disorders and other …

Accuracy of artificial intelligence model for infectious keratitis classification: a systematic review and meta-analysis

R Sarayar, YD Lestari, AAA Setio… - Frontiers in Public …, 2023 - frontiersin.org
Background Infectious keratitis (IK) is a sight-threatening condition requiring immediate
definite treatment. The need for prompt treatment heavily depends on timely diagnosis. The …