Artificial intelligence for brain diseases: A systematic review

A Segato, A Marzullo, F Calimeri, E De Momi - APL bioengineering, 2020 - pubs.aip.org
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 …

AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook

Y Huang, CY Cheung, D Li, YC Tham, B Sheng… - Eye, 2024 - nature.com
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 …

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 …

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 …

Predicting systemic health features from retinal fundus images using transfer-learning-based artificial intelligence models

NC Khan, C Perera, ER Dow, KM Chen, VB Mahajan… - Diagnostics, 2022 - mdpi.com
While color fundus photos are used in routine clinical practice to diagnose ophthalmic
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 …

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 …

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 …

White matter hyperintensities quantification in healthy adults: A systematic review and meta‐analysis

L Melazzini, P Vitali, E Olivieri… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Although white matter hyperintensities (WMH) volumetric assessment is now
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 …