Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases

MM Hasan, J Phu, A Sowmya, E Meijering… - Clinical and …, 2024 - Taylor & Francis
Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …

Application of artificial intelligence in glaucoma care: An updated review

JH Wu, S Lin, S Moghimi - Taiwan Journal of Ophthalmology, 2024 - journals.lww.com
The application of artificial intelligence (AI) in ophthalmology has been increasingly
explored in the past decade. Numerous studies have shown promising results supporting …

Mix histogram and gray level co-occurrence matrix to improve glaucoma prediction machine learning

J Jumanto, FW Nugraha, A Harjoko… - Journal of Soft …, 2023 - shmpublisher.com
Glaucoma is an eye disease that is the second leading cause of blindness. Examination of
glaucoma by an ophthalmologist is usually done by observing the retinal image directly …

Computer-Aided Discrimination of Glaucoma Patients from Healthy Subjects Using the RETeval Portable Device

M Bekollari, M Dettoraki, V Stavrou, D Glotsos… - Diagnostics, 2024 - mdpi.com
Glaucoma is a chronic, progressive eye disease affecting the optic nerve, which may cause
visual damage and blindness. In this study, we present a machine-learning investigation to …

An Elaborate Review of Diagnosing Glaucoma Disease Using Machine Learning and Deep Learning Techniques

R Thamilselvan, P Natesan… - 2023 International …, 2023 - ieeexplore.ieee.org
The vision of a human is very important in their life. In today's world lot of medical
advancements have arrived to treat all the diseases. In this part the earlier identification of …

A survey of glaucoma detection algorithms using fundus and OCT images

R Kiefer, J Steen, M Abid, MR Ardali… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Glaucoma steals vision silently, but recent artificial intelligence advancements allow for its
detection at an earlier stage with higher accuracy. This research updates the status of …

Ocular and inflammatory markers associated with Gulf War illness symptoms

K Kalahasty, Y Lee, E Locatelli, M Djulbegovic… - Scientific reports, 2023 - nature.com
To examine the utility of ocular coherence tomography (OCT) metrics, in conjunction with
systemic markers of inflammation, in identifying individuals with Gulf War Illness (GWI) …

Glaucoma detection model by exploiting multi-region and multi-scan-pattern OCT images with dynamical region score

K Liu, J Zhang - Biomedical Optics Express, 2024 - opg.optica.org
Currently, deep learning-based methods have achieved success in glaucoma detection.
However, most models focus on OCT images captured by a single scan pattern within a …

Macular OCT's Proficiency in Identifying Retrochiasmal Visual Pathway Lesions in Multiple Sclerosis—A Pilot Study

L Cujbă, A Banc, C Stan, T Drugan, C Nicula - Diagnostics, 2024 - mdpi.com
Optical coherence tomography (OCT) is a non-invasive imaging technique based on the
principle of low-coherence interferometry that captures detailed images of ocular structures …

Statistical performance review on diagnosis of leukemia, glaucoma and diabetes mellitus using AI

R Perumalraja, B Felcia Logan's Deshna… - Statistics in …, 2024 - Wiley Online Library
The growth of artificial intelligence (AI) in the healthcare industry tremendously increases the
patient outcomes by reshaping the way we diagnose, treat and monitor patients. AI‐based …