[HTML][HTML] Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images

Y Ji, Y Ji, Y Liu, Y Zhao, L Zhang - Frontiers in Cell and …, 2023 - frontiersin.org
As the only blood vessels that can directly be seen in the whole body, pathological changes
in retinal vessels are related to the metabolic state of the whole body and many systems …

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

[HTML][HTML] Heart rate modeling and prediction using autoregressive models and deep learning

A Staffini, T Svensson, U Chung, AK Svensson - Sensors, 2021 - mdpi.com
Physiological time series are affected by many factors, making them highly nonlinear and
nonstationary. As a consequence, heart rate time series are often considered difficult to …

[HTML][HTML] The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases

LF Desideri, C Rutigliani, P Corazza, A Nastasi… - Journal of …, 2022 - Elsevier
In recent years, the role of artificial intelligence (AI) and deep learning (DL) models is
attracting increasing global interest in the field of ophthalmology. DL models are considered …

Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology

JS Lim, M Hong, WST Lam, Z Zhang… - Current opinion in …, 2022 - journals.lww.com
AI-applications have vast potential to meet many eyecare needs, consequently reducing
burden on scarce healthcare resources. A pertinent challenge would be to maintain data …

[HTML][HTML] Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia

WS Lim, HY Ho, HC Ho, YW Chen, CK Lee… - BMC Medical …, 2022 - Springer
Background Glaucoma is one of the major causes of blindness; it is estimated that over 110
million people will be affected by glaucoma worldwide by 2040. Research on glaucoma …

[HTML][HTML] Artificial intelligence (AI) for early diagnosis of retinal diseases

UPS Parmar, PL Surico, RB Singh, F Romano, C Salati… - Medicina, 2024 - mdpi.com
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology,
revolutionizing disease diagnosis and management. This paper provides a comprehensive …

[HTML][HTML] Deep learning model based on 3D optical coherence tomography images for the automated detection of pathologic myopia

SJ Park, T Ko, CK Park, YC Kim, IY Choi - Diagnostics, 2022 - mdpi.com
Pathologic myopia causes vision impairment and blindness, and therefore, necessitates a
prompt diagnosis. However, there is no standardized definition of pathologic myopia, and its …

[HTML][HTML] Applications of deep learning for detecting ophthalmic diseases with ultrawide-field fundus images

QQ Tang, XG Yang, HQ Wang, DW Wu… - International Journal of …, 2024 - ncbi.nlm.nih.gov
AIM To summarize the application of deep learning in detecting ophthalmic disease with
ultrawide-field fundus images and analyze the advantages, limitations, and possible …

Vision language models in ophthalmology

G Lim, K Elangovan, L Jin - Current Opinion in Ophthalmology, 2024 - journals.lww.com
Summary Vision Language Models offer the potential to assist and streamline the existing
clinical workflow in ophthalmology, whether previsit, during, or post-visit. There are …