[HTML][HTML] Artificial intelligence in retinopathy of prematurity diagnosis

BA Scruggs, RVP Chan… - … vision science & …, 2020 - iovs.arvojournals.org
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …

Identification of novel biomarkers for retinopathy of prematurity in preterm infants by use of innovative technologies and artificial intelligence

S Hoyek, NFS da Cruz, NA Patel, H Al-Khersan… - Progress in Retinal and …, 2023 - Elsevier
Retinopathy of prematurity (ROP) is a leading cause of preventable vision loss in preterm
infants. While appropriate screening is crucial for early identification and treatment of ROP …

Artificial intelligence for retinopathy of prematurity

RH Gensure, MF Chiang… - Current opinion in …, 2020 - journals.lww.com
Real-world implementation of artificial intelligence for ROP diagnosis will require massive
efforts targeted at developing standards for data acquisition, true external validation, and …

Deep learning for the diagnosis of stage in retinopathy of prematurity: accuracy and generalizability across populations and cameras

JS Chen, AS Coyner, S Ostmo, K Sonmez… - Ophthalmology …, 2021 - Elsevier
Purpose Stage is an important feature to identify in retinal images of infants at risk of
retinopathy of prematurity (ROP). The purpose of this study was to implement a …

Deep learning in the diagnosis and management of arrhythmias

AH Khan, H Zainab, R Khan… - Journal of Social …, 2024 - ijsr.internationaljournallabs.com
Recent advancements in analyzing methods for the identification of arrhythmia based on
deep learning have revealed great promise towards improving cardiac care. Probabilistic …

Novel approaches for early detection of retinal diseases using artificial intelligence

FS Sorrentino, L Gardini, L Fontana, M Musa… - Journal of Personalized …, 2024 - mdpi.com
Background: An increasing amount of people are globally affected by retinal diseases, such
as diabetes, vascular occlusions, maculopathy, alterations of systemic circulation, and …

[HTML][HTML] Retinopathy of prematurity: how to prevent the third epidemics in developing countries

R Azad, C Gilbert, AB Gangwe, P Zhao, WC Wu… - Asia-Pacific Journal of …, 2020 - Elsevier
Retinopathy of prematurity (ROP) is vasoproliferative disease affecting preterm infants and is
a leading cause of avoidable childhood blindness worldwide. The world is currently …

Liver segmentation from multimodal images using HED-mask R-CNN

S Mulay, G Deepika, S Jeevakala, K Ram… - … Medical Imaging: First …, 2020 - Springer
Precise segmentation of the liver is critical for computer-aided diagnosis such as pre-
evaluation of the liver for living donor-based transplantation surgery. This task is challenging …

Current and future roles of artificial intelligence in retinopathy of prematurity

A Jafarizadeh, SF Maleki, P Pouya, N Sobhi… - arXiv preprint arXiv …, 2024 - arxiv.org
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading
to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While …

Early diagnosis and quantitative analysis of stages in retinopathy of prematurity based on deep convolutional neural networks

P Li, J Liu - Translational Vision Science & Technology, 2022 - tvst.arvojournals.org
Purpose: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. An
accurate and timely diagnosis of the early stages of ROP allows ophthalmologists to …