Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 9,381 to 9,390 of 208,566 articles

Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity.

Molecular medicine (Cambridge, Mass.)
BACKGROUND: The coronavirus disease 2019 (COVID-19) ranges from asymptomatic to very severe infection and death, largely depending on host factors, including genetics. We have investigated clinical and genetic data from 200 COVID-19 patients to searc... read more 

A hybrid SE-ResNet50 deep learning framework for high-accuracy and explainable cotton leaf disease classification.

BMC plant biology
Cotton production is highly vulnerable to foliar diseases and pest-induced damage, which significantly reduce yield and compromise fiber quality. Rapid, reliable, and automated disease identification is therefore essential for supporting sustainable ... read more 

Predicting low birth weight in Bangladesh using interpretable machine learning models.

BMC pregnancy and childbirth
BACKGROUND: Low birth weight (LBW) remains a leading cause of neonatal mortality and long-term morbidity in low- and middle-income countries. This study aimed to develop and evaluate machine learning classifiers for predicting LBW using nationally re... read more 

Determinants of patient satisfaction in a primary healthcare facility in Bangladesh.

BMC health services research
BACKGROUND: Patient satisfaction is an important indicator of healthcare quality and system responsiveness, particularly in primary healthcare systems of low- and middle-income countries. In Bangladesh, empirical evidence on determinants of patient s... read more 

The emerging role of oligodendrocytes in Alzheimer's disease: Integrating bibliometric insights with molecular pathogenesis.

Journal of Alzheimer's disease : JAD
BackgroundOligodendrocytes (OLs) have received relatively limited attention in Alzheimer's disease (AD) research; however, recent studies highlight their significant role in AD pathology, particularly in neuroinflammation and myelin integrity.Objecti... read more 

Peripheral immune and vascular inflammatory signatures precede Alzheimer's disease onset: A serum proteomic study.

Journal of Alzheimer's disease : JAD
BackgroundNeuroinflammation plays an important role in the pathogenesis of Alzheimer's disease, but systemic immune alterations preceding clinical onset remain insufficiently characterized. Peripheral immune and vascular inflammatory processes may in... read more 

Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

Journal of medical engineering & technology
Timely identification of seizure-related EEG states can support clinical assessment and motivate future monitoring tools. This study investigates a comparative machine-learning framework for EEG-based epileptic seizure state classification using sub-... read more 

Transforming surgical decisions: the rise of predictive and personalized digital tools.

Expert review of medical devices
INTRODUCTION: Artificial intelligence (AI) has the potential to profoundly transform surgical decision-making (SDM) by enabling more predictive, personalized, and data-driven care. Its integration across the surgical pathway can improve clinical outc... read more 

EZPro-Multi: Contrastive Learning-Enhanced Multi-property Prediction for Enzyme Engineering.

Journal of chemical theory and computation
Accurately predicting the functional attributes of enzyme mutants is crucial for accelerating enzyme engineering and optimizing biocatalytic systems. Most existing methods focus on enzyme information or a limited set of properties while overlooking k... read more 

Computational modeling of electrocatalyst reconstruction.

Chemical communications (Cambridge, England)
Electrocatalyst reconstruction under operating conditions is now widely recognized as a key factor governing catalytic activity, selectivity, and stability. Substantial progress has been made in developing computational methods to describe this struc... read more