Latest AI and machine learning research in preventive care for healthcare professionals.
OBJECTIVE: Artificial intelligence (AI) tools for histological diagnosis offer great potential to he...
Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an ...
Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide l...
This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to m...
Advances in telemedicine, exemplified by augmented reality (AR) and virtual reality (VR), are rapidl...
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines...
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions i...
After the global impact of the COVID-19 pandemic, concerns over virus transmission have risen. A st...
BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortalit...
Chemically induced neurotoxicity is a critical aspect of chemical safety assessment. Traditional and...
In the past several years, a few cervical Pap smear datasets have been published for use in clinical...
PURPOSE: This study aims to evaluate the inter-observer variability in assessing the optic disc in f...
BACKGROUND: Artificial intelligence (AI) has significantly impacted medical imaging, particularly in...
Two experiments evaluated the effects of an injectable trace mineral (ITM) solution at weaning on tr...
BackgroundBedside continuous monitoring of cerebral blood flow (CBF) has significant implications in...
Human respiratory syncytial virus (RSV) remains a significant global health threat, particularly for...
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA wi...
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscop...
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...
Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction perfor...
BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...