Artificial Intelligence Medical Compendium

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

Showing 24,421 to 24,430 of 217,425 articles

Risk and protective factors in addictive behaviors: Integrating artificial intelligence and traditional analytical methods to assess social and psychological determinants.

Current opinion in psychiatry
PURPOSE OF REVIEW: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biological, psychological, social, and environmental factors including digital ones. This review focuses o... read more 

Crack-Expansion Patterned Laser-Induced Graphene Strain Sensors for Machine Learning-Assisted Neck Posture Monitoring.

Langmuir : the ACS journal of surfaces and colloids
Prolonged exposure to electronic devices exacerbates neck health issues in modern populations. To address this challenge, we develop a flexible strain sensor based on crack-extension patterned laser-induced graphene (PLIG), designed for high-precisio... read more 

Coordination-Modulated MOF-Derived Electrocatalysts for Enhanced C─C Coupling in CO2 to C2H4 and C2H5OH Conversion.

Small (Weinheim an der Bergstrasse, Germany)
Electrochemical CO2 reduction (CO2RR) to high-value C2 products- ethylene (C2H4) and ethanol (C2H5OH)- offers a sustainable pathway to mitigate anthropogenic emissions and close the carbon cycle. However, high energy barriers for CO2 activation imped... read more 

Machine Learning-Enabled Multidimensional Ratiometric Sensor Array for Accurate Discrimination and Quantification of Tetracyclines.

Analytical chemistry
Extensive use of tetracycline antibiotics (TCs) threatens ecosystems and human health, necessitating sensitive and selective analytical monitoring approaches. Herein, we report an amino-functionalized mesoporous-silica-confined nanosensor (PLNP@SiO2-... read more 

Development of an Algorithm to Estimate Fat-Free Mass to Optimize Contrast Injection for Computed Tomography Imaging of the Liver.

Journal of computer assisted tomography
OBJECTIVES: Contrast-enhanced computed tomography (CT) is central to liver imaging. Inadequate enhancement can compromise diagnostic accuracy and impact treatment decisions. Fat-free mass (FFM) has emerged as a key predictor of liver enhancement qual... read more 

Machine Learning-Assisted Phase Diagram Determination in Aqueous Two-Phase Systems.

Langmuir : the ACS journal of surfaces and colloids
Accurate construction of phase diagrams for aqueous two-phase systems (ATPSs) is essential for identifying two-phase compositions for downstream applications. However, current experimental strategies based on turbidimetric titration are labor-intensi... read more 

Global trends and hotspots of machine learning in the diagnosis of prostate cancer: a bibliometric analysis from 1997 to 2024.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Prostate cancer (PCa) diagnosis has advanced with the integration of machine learning (ML). This study analyzes global trends in ML-based PCa diagnosis research using bibliometric methods. METHODS: A systematic search was conducted in the We... read more 

Advances and future directions in identifying specific taxa from microbial meta-omics data: from pipeline to deep learning.

mSystems
Molecular profiling enabled by meta-omics technologies has significantly expanded our knowledge of microbial catalog across diverse environments. Increasing attention has now been focused on identifying ecologically significant taxa, particularly key... read more 

Trehalose improves cold tolerance of Pediococcus pentosaceus OL77 and enhances low-temperature oat silage fermentation.

mSphere
Low temperature remains a major bottleneck in silage fermentation, especially in cold regions and high-altitude areas. This study investigated the regulatory role of compatible solutes in enhancing the cold adaptation of Pediococcus pentosaceus OL77 ... read more 

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?

Journal of virology
Although current antiretroviral therapy effectively suppresses viral replication in infected individuals, infections remain incurable. One of the main reasons for this is the uncertainty of the molecular microenvironment of the latent HIV reservoir. ... read more