Artificial intelligence for brain diseases: A systematic review
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …
analyzing complex medical data and extracting meaningful relationships in datasets, for …
AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
A machine learning approach for retinal images analysis as an objective screening method for children with autism spectrum disorder
M Lai, J Lee, S Chiu, J Charm, WY So, FP Yuen… - …, 2020 - thelancet.com
Background Autism spectrum disorder (ASD) is characterised by many of features including
problem in social interactions, different ways of learning, some children showing a keen …
problem in social interactions, different ways of learning, some children showing a keen …
Ocular images-based artificial intelligence on systemic diseases
Y Tan, X Sun - BioMedical Engineering OnLine, 2023 - Springer
Purpose To provide a summary of the research advances on ocular images-based artificial
intelligence on systemic diseases. Methods Narrative literature review. Results Ocular …
intelligence on systemic diseases. Methods Narrative literature review. Results Ocular …
Predicting systemic health features from retinal fundus images using transfer-learning-based artificial intelligence models
While color fundus photos are used in routine clinical practice to diagnose ophthalmic
conditions, evidence suggests that ocular imaging contains valuable information regarding …
conditions, evidence suggests that ocular imaging contains valuable information regarding …
Role of artificial intelligence and machine learning in ophthalmology
JD Akkara, A Kuriakose - Kerala Journal of Ophthalmology, 2019 - journals.lww.com
Artificial intelligence (AI) and machine learning (ML) have entered several avenues of
modern life, and health care is just one of them. Ophthalmology is a field with a lot of …
modern life, and health care is just one of them. Ophthalmology is a field with a lot of …
Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images
J Huang, X Zhang, R **, T Xu, Z **, M Shen… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective: Parkinson's disease (PD) is one of the most prevalent
neurodegenerative brain diseases worldwide. Therefore, accurate PD screening is crucial …
neurodegenerative brain diseases worldwide. Therefore, accurate PD screening is crucial …
Predicting the severity of white matter lesions among patients with cerebrovascular risk factors based on retinal images and clinical laboratory data: A deep learning …
L Shu, K Zhong, N Chen, W Gu, W Shang… - Frontiers in …, 2023 - frontiersin.org
Background and purpose As one common feature of cerebral small vascular disease
(cSVD), white matter lesions (WMLs) could lead to reduction in brain function. Using a …
(cSVD), white matter lesions (WMLs) could lead to reduction in brain function. Using a …
White matter hyperintensities quantification in healthy adults: A systematic review and meta‐analysis
Background Although white matter hyperintensities (WMH) volumetric assessment is now
customary in research studies, inconsistent WMH measures among homogenous …
customary in research studies, inconsistent WMH measures among homogenous …
Potential mechanism of venous system for leukoaraiosis: from post-mortem to in vivo research
D Nan, Y Cheng, L Feng, M Zhao, D Ma… - Neurodegenerative …, 2019 - karger.com
Background: Leukoaraiosis (LA), widely accepted as a feature of cerebral small vessel
disease, significantly increases the incidence of stroke, dementia, and death. Cerebral small …
disease, significantly increases the incidence of stroke, dementia, and death. Cerebral small …