Artificial Intelligence Medical Compendium

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

Showing 44,021 to 44,030 of 224,055 articles

Enhancing Clinical Applicability of Laboratory-Based Machine Learning Models for Advanced Fibrosis in MASLD.

Journal of clinical and experimental hepatology Mar 7, 2026
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The oral cavity of chronically homeless adults is home for unusual extremophile environmental bacteria.

iScience Mar 7, 2026
Chronically homeless adults (CHA) face limited healthcare access, frequent substance use, contact with animals that significantly alter their oral microenvironment. This study aimed to characterize the oral microbiota in this understudied population.... read more 

Prediction of Heart Failure With Reduced Ejection Fraction With Artificial Intelligence Electrocardiography in Patients With Atrial Fibrillation.

Mayo Clinic proceedings. Digital health Mar 7, 2026
OBJECTIVE: To determine whether a low ejection fraction artificial intelligence electrocardiogram (AI-ECG) algorithm predicts incident heart failure with reduced ejection fraction (HFrEF) in patients with atrial fibrillation (AF) independently of kno... read more 

A dual-track, physics-informed framework for predicting TENG open circuit voltage and short circuit current.

iScience Mar 7, 2026
This study addresses the difficulty of predicting triboelectric nanogenerator outputs across heterogeneous devices and reporting conventions. A dual-track framework is introduced: a closed-form surrogate grounded in Thevenin load matching that recons... read more 

Multi-scale characterization and artificial neural network-based modeling identify leachate composition as a primary factor of cooked rice palatability.

Carbohydrate polymers Mar 7, 2026
The eating quality of cooked rice is governed by complex interactions among compositional, structural, and sensory attributes, yet integrated prediction model encompassing these multi-scale parameters are limited. This study evaluated eight rice vari... read more 

Profiling biological effects of microbiome metabolites via machine learning.

iScience Mar 7, 2026
Human microbiome-derived metabolites are key mediators of host physiology. However, their biological effects remain largely uncharacterized due to limitations of current low-throughput and untargeted experimental approaches that are time intensive an... read more 

FTIR spectroscopy identification of fraud in coffee powder: a study on preprocessing methods.

Food chemistry Mar 7, 2026
This study investigates the use of Fourier Transform Infrared (FTIR) spectroscopy, combined with eight distinct spectral preprocessing techniques and advanced regression modeling, to detect and quantify adulteration in ground coffee. Three common adu... read more 

Preparing for the Future: A Mixed Methods Study Protocol on AI Awareness and Educational Integration in Qatars Primary Health Care Workforce.

medRxiv Mar 7, 2026
Background Artificial intelligence (AI) is increasingly being integrated into healthcare systems, with growing applications in clinical decision support, workflow optimization, and population health management. While substantial investments have been... read more 
health systems and quality improvement

Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020

medRxiv Mar 6, 2026
Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, yet the relative influence of behavioral, environmental, socioeconomic, and therapeutic factors and their sex specific contributions remains unclear. U... read more 
oncology

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data

medRxiv Mar 6, 2026
Background: Pressure volume (PV) loop analysis remains the gold standard for assessing the intrinsic global diastolic properties of the left ventricle (LV). Traditional fitting techniques rely on local, phase-constrained fittings and are limited due ... read more 
cardiovascular medicine
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