Artificial Intelligence Medical Compendium

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

Showing 2,471 to 2,480 of 235,381 articles

Symptom-Guided Blood Biomarker Testing for Alzheimer's Disease.

Dementia and geriatric cognitive disorders
Introduction Blood-based biomarkers can accurately detect Alzheimer's disease (AD) pathology, but symptom-guided testing approaches are understudied. This study evaluated the utility of early symptom and biomarker changes in predicting cognitive decl... read more 

A machine learning model for in-hospital mortality prediction in patients with sepsis-related myocardial injury.

PLOS digital health
Sepsis-related myocardial injury (SRMI) is associated with high mortality, but the transportability of prediction models across heterogeneous cohorts remains uncertain. We developed and externally validated a machine learning model for in-hospital mo... read more 

Explainable spatiotemporal Graph Neural Networks: Multi-City PM2.5 forecasting in Bangladesh with geographic graph topology validation.

PloS one
Accurate forecasting of fine particulate matter (PM2.5) is critical for mitigating severe health risks in South Asia, yet it remains challenging in data-scarce regions like Bangladesh. While spatiotemporal graph neural networks (GNNs) offer a promisi... read more 

Integrated bioinformatics analysis identifies an immune-related gene signature associated with non-obstructive azoospermia.

PloS one
Non-obstructive azoospermia (NOA) is a severe male infertility disorder. This study aims to identify immune-related biomarkers for explore immune-related molecular signatures associated with NOA. Here, we integrated transcriptomic data from four inde... read more 

Increased Pupil Constriction Latency in Immunoglobulin G4-related Ophthalmic Disease.

Ophthalmic research
PURPOSE: To examine the pupillary light reflex (PLR) in Immunoglobulin G4-related ophthalmic disease (IgG4-ROD) compared with healthy controls using virtual reality-based infrared pupillometry. DESIGN: Cross-sectional matched case-control study. PART... read more 

Single-cell transcriptomics and machine learning characterize LTA4H-linked lipid metabolism and inflammatory signatures in the knee osteoarthritis IPFP/synovium compartment.

PloS one
Knee osteoarthritis (KOA) is a whole-joint disease characterized by inflammation, immune dysregulation, and metabolic imbalance. To define lipid metabolism-related transcriptional heterogeneity within the infrapatellar fat pad (IPFP)/synovium compart... read more 

Visualization and Interpretation of Nuclear Features in a Deep Learning-Discriminant Analysis of Lobular Endocervical Glandular Hyperplasia with VGG16 and Linear Support Vector Machine.

Pathobiology : journal of immunopathology, molecular and cellular biology
INTRODUCTION: Lobular endocervical glandular hyperplasia (LEGH), which is considered a precursor lesion of gastric-type adenocarcinoma, exhibits subtle nuclear atypia in cytological specimens and, thus, is occasionally difficult to distinguish from n... read more 

Latent encoding of movement in primary visual cortex.

PLoS computational biology
Neurons in the primary visual cortex (V1) are classically thought to encode spatial features of visual stimuli through simple population codes: each neuron exhibits a preferred orientation and preferred spatial frequency, both of which remaining inva... read more 

ReViT-RF: A hybrid ResNet-50-Vision Transformer with a Radiomic Feature Fusion framework for lung tumor classification and TNM-based stage prediction using CT images.

PloS one
Lung cancer is one of the leading causes of cancer-related mortality worldwide, emphasizing the need for accurate, automated, and clinically interpretable diagnostic systems. Although existing deep learning (DL) models have achieved promising perform... read more 

Identification of letters distorted by physiologically-inspired spatial scrambling.

PLoS computational biology
In the geniculostriate pathway of the human visual system, neuronal projections carry signals from a particular retinal locus in parallel from one anatomical area to the next. Imprecision in the fidelity of these projections would place constraints o... read more