Results 141 to 150 of about 22,800 (222)
Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound
Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila +9 more
wiley +1 more source
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah +4 more
wiley +1 more source
Sex‐specific acceleration of Alzheimer's pathogenesis by chronic sleep‐deprivation
Abstract INTRODUCTION Sleep impairments likely contribute to Alzheimer's pathology, though specific contributions to disease progression are incompletely understood. We propose that autophagic impairment is associated with chronic sleep disruption and examine how sleep loss and stress influence disease development, including having impacts on ...
Darcy Wear +5 more
wiley +1 more source
Abstract INTRODUCTION Little is known about how Alzheimer's disease (AD) plasma biomarkers relate to cerebral small vessel disease (cSVD) neuroimaging biomarkers. METHODS The study involved 251 Wake Forest Multi‐Ethnic Study of Atherosclerosis (MESA) Exam 6 participants with plasma AD biomarkers, magnetic resonance imaging, amyloid positron emission ...
Samuel N. Lockhart +22 more
wiley +1 more source
The Argentine ant (Linepithema humile) was first discovered in Korea in Busan in 2019. Due to a lack of occurrence data, its distribution in Korea remains difficult to predict. This study constructed a single and ensemble model based on BIOMOD2 using occurrence data and environmental variables from South and North America and projected it to Korea. The
Hyeban Namgung, Hyojoong Kim
wiley +1 more source
Artificial intelligence has the potential to enhance clinical decision making, but complex black box models can be difficult to interpret and trust. Explainable artificial intelligence methods aim to open the black box by highlighting which features are driving the model's prediction.
Sophie A. Martin +7 more
wiley +1 more source
Dynamic causal modelling of working memory fMRI in individuals with Neurofibromatosis Type 1 (NF1) revealed altered frontoparietal connectivity. NF1 participants showed increased endogenous self‐connectivity in left dlPFC and IPG. During working memory, NF1 participants showed increased self‐connectivity in left vlPFC but decreased self‐connectivity in
Marta C. Litwińczuk +3 more
wiley +1 more source
ABSTRACT Background The loss of smell (anosmia) has been noted in numerous diseases, including COVID‐19. Inflammatory and microstructural alterations are possible underlying mechanisms of anosmia in COVID‐19. However, no atlas exists to study olfaction and the associated tissue property changes.
Marta Gaviraghi +17 more
wiley +1 more source
Abstract Purpose To demonstrate the feasibility and performance of whole‐brain blood oxygen level–dependent functional MRI (fMRI) in humans at 10.5 T by combining motion‐robust three‐dimensional gradient‐echo echo‐planar imaging, parallel transmission, and high‐density radiofrequency (RF) receive coils.
Shuxian Qu +15 more
wiley +1 more source
This work proposes OAM‐encoded CNN based on cascaded on‐chip OAM converters and multiplexers. The footprint of inverse‐designed converters is 5 μm × 4 μm and the maximum conversion efficiency of OAM reaches 88%. The OAM‐encoded optical CNN was built using this device, achieving 98.0% accuracy on MNIST and 86.1% accuracy on Fashion‐MNIST classification.
Yumeng Chen +4 more
wiley +1 more source

