Results 141 to 150 of about 5,919,808 (365)

Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer   +3 more
wiley   +1 more source

Combination of sensor-embedded and secure server-distributed artificial intelligence for healthcare applications

open access: yesCurrent Directions in Biomedical Engineering, 2019
The application of artificial intelligence (AI) in the areas of health, care and social participation offers great opportunities but also involves great challenges.
Gembaczka Pierre   +5 more
doaj   +1 more source

Human-AI collaboration patterns in AI-assisted academic writing

open access: yesStudies in Higher Education
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges.
Andy Nguyen   +3 more
semanticscholar   +1 more source

Trends in Dermatopolymyositis Mortality, 1999–2022: A Nationwide Population‐Based Study, United States

open access: yesArthritis Care &Research, EarlyView.
We report the national burden of dermatopolymyositis mortality over the past quarter century using the US national vital statistics data. Age‐standardized mortality rates for dermatopolymyositis decreased at an annual rate of 3.8% each year, which was higher than the annual percent decrease for deaths from all other causes.
Elizabeth Matz, Ram R. Singh
wiley   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

open access: diamond, 2023
Wilson Wen Bin Goh   +14 more
openalex   +1 more source

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

open access: yesArthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli   +8 more
wiley   +1 more source

Corrigendum: The influence of artificial intelligence on the manufacturing industry in South Africa

open access: yesSouth African Journal of Economic and Management Sciences
No abstract available.
Manqoba L. Nzama   +4 more
doaj   +1 more source

REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES

open access: yesInternational journal of applied research in social sciences
Artificial Intelligence (AI) is transforming the landscape of education, offering innovative solutions to enhance learning experiences. This review provides a comprehensive overview of how AI is revolutionizing education, focusing on its impact on ...
Oseremi Onesi-Ozigagun   +3 more
semanticscholar   +1 more source

LOXHD1 and RHOB Expression by Monocytes Predicts Progressive Systemic Sclerosis associated Interstitial Lung Disease

open access: yesArthritis Care &Research, Accepted Article.
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla   +13 more
wiley   +1 more source

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