Artificial Intelligence Medical Compendium

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

Showing 51,051 to 51,060 of 225,062 articles

Machine Learning Tools for Predicting Pediatric Urinary Tract Infections Caused by ESBL-producing Bacteria.

The Pediatric infectious disease journal
BACKGROUND: The prevalence of pediatric urinary tract infections (UTIs) caused by extended-spectrum β-lactamases (ESBL)-producing bacteria is increasing worldwide and is difficult to predict. As these infections require special antibiotic treatment, ... read more 

Trends in the psychedelic renaissance: applying artificial intelligence to measure media portrayal of psychedelic drugs in the 21st century.

BJPsych open
BACKGROUND: The relationship between media portrayal of psychedelic drugs, scientific research and drug policy is an area of debate. AIMS: To apply artificial intelligence technology to measure trends in media sentiment towards the therapeutic potent... read more 

Large-scale evaluation of multimodal large language models for pneumothorax detection.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Pneumothorax requires rapid recognition and accurate interpretation of chest X-rays (CXRs), particularly in acute settings where delays can have serious consequences. With the emergence of advanced image interpretation models capable of visu... read more 

Radiomics-based differentiation of benign and malignant breast masses on contrast-enhanced mammography: a reproducible workflow using open-source tools.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: To differentiate benign and malignant breast masses by extracting radiomic features from low-energy and recombined contrast-enhanced mammography (CEM) images and to evaluate the diagnostic performance of multiple machine learning classifiers... read more 

Early Maturation of Heart Rate Variability in Very Preterm Infants Depends on Neonatal Factors and Is Associated With Neurodevelopmental Risk.

Acta paediatrica (Oslo, Norway : 1992)
AIM: This study investigated central autonomic network maturation deviations using a previously defined machine learning model set to estimate a functional maturation age (FMA) from heart rate variability (HRV) analysis. We investigated whether these... read more 

Intelligent Stain-Free Histology on Structural Colorimetric Nanocavities.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Optical microscopic imaging and analysis are indispensable in modern pathology for providing conclusive evidence in disease diagnosis. However, the current gold standard histological staining techniques, hematoxylin and eosin (H&E), can be inconsiste... read more 

A Protein-Centric Strategy Coupled with Match-Between-Run Glycoproteomics Enables Discovery of Robust Site-Specific Glycan Biomarkers for Hepatocellular Carcinoma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Dysregulated protein glycosylation is a hallmark of cancer, and systematic investigation of glycosylation patterns is crucial for identifying biomarkers. However, current glycoproteomic studies are constrained by the limited quantification power of s... read more 

Leaky-Integrate-Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin-Orbit Torque.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Neuromorphic Computing (NC) is a promising candidate for Artificial Intelligence (AI) applications. To realize NC, electronic analogues of brain components, such as synapses and neurons, must be designed. In spintronics, domain wall (DW) based magnet... read more 

Chemical Feature Engineering and Defect-Aware Structural Fingerprint Representations for Complex Defects in 2D Materials.

Journal of chemical information and modeling
Designing descriptors for multiple defects in two-dimensional materials is challenging due to the diverse local atomic environments created by different defect types and arrangements. Existing physics-informed descriptors struggle to distinguish dist... read more 

Diagnosis of Cardiac Amyloidosis on Echocardiography Using Artificial Intelligence.

Circulation. Cardiovascular imaging
BACKGROUND: Diagnosing cardiac amyloidosis (CA) on echocardiography can be challenging due to the imaging overlap between CA and more prevalent causes of a hypertrophic phenotype. This study sought to (1) evaluate the performance of artificial-intell... read more