Identification And Mitigation Of Bias Using Explainable Artificial Intelligence (Xai) For Brain Stroke Prediction

K Mohammed, G George - Open Journal of Physical …, 2023 - openjournalsnigeria.org.ng
Stroke is a time-sensitive illness that without rapid care and diagnosis can result in
detrimental effects on the person. Caretakers need to enhance patient management by …

Prognosticating global functional outcome in the recurrent ischemic stroke using baseline clinical and pre‐clinical features: A machine learning study

TNP Dao, HNT Dang, MTK Pham… - Journal of Evaluation …, 2025 - Wiley Online Library
Abstract Background and Purpose Recurrent ischemic stroke (RIS) induces additional
functional limitations in patients. Prognosticating globally functional outcome (GFO) in RIS …

Deep interpretability methods for neuroimaging

MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

Fusion of Diffusion Weighted MRI and Clinical Data for Predicting Functional Outcome after Acute Ischemic Stroke with Deep Contrastive Learning

CL Tsai, HY Su, SF Sung, WY Lin, YY Su… - arXiv preprint arXiv …, 2024 - arxiv.org
Stroke is a common disabling neurological condition that affects about one-quarter of the
adult population over age 25; more than half of patients still have poor outcomes, such as …

[HTML][HTML] Outcomes and Complications Associated with Mechanical Thrombectomy in the Treatment of Acute Ischemic Stroke

Z Ahmed, J Pan, T Eskandar… - Cardiology and …, 2024 - pmc.ncbi.nlm.nih.gov
Universally, stroke presents as neurological deficits due to the obstruction of blood supply to
specific regions of the brain. Among the three main categories of stroke, acute ischemic …

Using Generative AI for Bibliographic Description: A Study with ChatGPT 4

R Gamage, P Wanigasooriya - Journal of the University Librarians …, 2024 - jula.sljol.info
This study explores the use of Generative Artificial Intelligence (GAI) in bibliographic
description in university library catalogs. It focuses on GAI's potential in enhancing efficiency …

Subacute paraneoplastic neuropathy as a form of “classic” paraneoplastic syndrome (literature review)

DR Stelmashchuk, OO Kopchak - INTERNATIONAL …, 2024 - inj.zaslavsky.com.ua
The article reviews the problem of paraneoplastic neurological syndromes with a focus on
paraneoplastic subacute neuropathy. It outlines clinical manifestations, diagnostic criteria of …

[PDF][PDF] Підгостра паранеопластична нейропатія як одна з форм «класичного» паранеопластичного синдрому (огляд літератури)

ДР Стельмащук, ОО Копчак - Том 20, N № 2, 2024, 2024 - inj.zaslavsky.com.ua
У статті проведено огляд проблеми паранеопластичних неврологічних синдромів з
акцентом на паранеопластичну підгостру нейропатію. Наведено клінічні прояви …

Integrating RapidAI in an Evolving Hub and Spoke Center

R Finnie, LB Bourne, S Aureli - Stroke Clinician, 2024 - journals.psu.edu
Abstract Introduction/Background: As the rapid assessment of suspected stroke patients is
imperative to reduce death and disability, rapid and reliable imaging studies are required to …