Results 1 to 10 of about 124,636 (155)

A cross-over, randomised feasibility study of digitally-printed versus hand-painted artificial eyes in adults (PERSONAL-EYE-S): health economic findings [PDF]

Pilot and Feasibility Studies
Background Technology advances mean alternatives to hand-painted artificial eyes are possible, but the feasibility of conducting a large-scale trial is unknown.
Sarah Ronaldson, Elizabeth Coleman, Amie Woodward, Tim Zoltie, Paul Bartlett, Laura Wilson, Tom Archer, Jessica Kawalek, Florien Boele, Bernard Chang, George Kalantzis, Michael Theaker, Nabil El-Hindy, Emma Walshaw, Taras Gout, Judith Watson   +15 more
doaj   +2 more sources

Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images

Scientific Reports, 2022
Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images.
Jinyoung Han, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Junseo Ko, Jeewoo Yoon, Daniel Duck-Jin Hwang   +8 more
doaj   +1 more source

Advances in artificial intelligence applications for ocular surface diseases diagnosis

Frontiers in Cell and Developmental Biology, 2022
In recent years, with the rapid development of computer technology, continual optimization of various learning algorithms and architectures, and establishment of numerous large databases, artificial intelligence (AI) has been unprecedentedly developed ...
Yuke Ji, Sha Liu, Xiangqian Hong, Yi Lu, Xingyang Wu, Kunke Li, Keran Li, Yunfang Liu   +7 more
doaj   +1 more source

Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study

Scientific Reports, 2022
Central serous chorioretinopathy (CSC) is the fourth most common retinopathy and can reduce quality of life. CSC is assessed using optical coherence tomography (OCT), but deep learning systems have not been used to classify CSC subtypes. This study aimed
Jeewoo Yoon, Jinyoung Han, Junseo Ko, Seong Choi, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyuhwan Jang, Joonhong Sohn, Kyu Hyung Park, Daniel Duck-Jin Hwang   +10 more
doaj   +1 more source

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography

Scientific Reports, 2021
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convolutional
Daniel Duck-Jin Hwang, Seong Choi, Junseo Ko, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Hak Jun Lee, Joonhong Sohn, Kyu Hyung Park, Jinyoung Han   +10 more
doaj   +1 more source

Matrix metalloproteinase 9 is associated with conjunctival microbiota culture positivity in Korean patients with chronic Stevens-Johnson syndrome

BMC Ophthalmology, 2022
Background Stevens-Johnson syndrome (SJS) is an abnormal immune-response causing extensive exfoliation of the mucocutaneous tissue including conjunctiva. While several factors are associated with the alteration of conjunctival microbiota, the conjunctiva
Jayoon Moon, Yunjin Lee, Chang Ho Yoon, Mee Kum Kim   +3 more
doaj   +1 more source

Artificial Compound Eye Systems and Their Application: A Review

Micromachines, 2021
The natural compound eye system has many outstanding properties, such as a more compact size, wider-angle view, better capacity to detect moving objects, and higher sensitivity to light intensity, compared to that of a single-aperture vision system ...
Huu Lam Phan, Jungho Yi, Joonsung Bae, Hyoungho Ko, Sangmin Lee, Dongil Cho, Jong-Mo Seo, Kyo-in Koo   +7 more
doaj   +1 more source

Мethods of Machine Learning in Ophthalmology: Review

Oftalʹmologiâ, 2020
Machine learning is applied in every field of human activity using digital data. In recent years, many papers have been published concerning artificial intelligence use in classification, regression and segmentation purposes in medicine and in ...
D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov   +5 more
doaj   +1 more source

Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images

Scientific Reports, 2022
Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence ...
Junseo Ko, Jinyoung Han, Jeewoo Yoon, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Kyu Hyung Park, Daniel Duck-Jin Hwang   +7 more
doaj   +1 more source

Prediction of Visual Acuity in Pathologic Myopia with Myopic Choroidal Neovascularization Treated with Anti-Vascular Endothelial Growth Factor Using a Deep Neural Network Based on Optical Coherence Tomography Images

Biomedicines, 2023
Myopic choroidal neovascularization (mCNV) is a common cause of vision loss in patients with pathological myopia. However, predicting the visual prognosis of patients with mCNV remains challenging.
Migyeong Yang, Jinyoung Han, Ji In Park, Joon Seo Hwang, Jeong Mo Han, Jeewoo Yoon, Seong Choi, Gyudeok Hwang, Daniel Duck-Jin Hwang   +8 more
doaj   +1 more source