Artificial Intelligence Medical Compendium

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

Showing 11,321 to 11,330 of 209,934 articles

Pathogen-specific antimicrobial activity prediction with biological large language model-based methods

bioRxiv May 26, 2026
Driven by the rise of antimicrobial resistance, antimicrobial peptides (AMPs) have emerged as promising therapeutics capable of targeting multidrug-resistant pathogens. Because identifying AMPs and their specific targets requires costly and labor-int... read more 
bioinformatics

CryoARC: Atomic-resolution conformational landscapes of protein assemblies from cryo-EM single particles with evolutionary priors

bioRxiv May 26, 2026
Single-particle cryo-electron microscopy (cryo-EM) reveals structural heterogeneity in macromolecular complexes, but recovering continuous conformational landscapes at high resolution remains challenging. Here, we introduce CryoARC, a deep learning f... read more 
bioinformatics

Estimation of the curved body length of tuna larvae from microscope images using a zero-shot model and image processing techniques

bioRxiv May 26, 2026
Fixed larval specimens often shrink and curve, making length measurement labor-intensive. Although recent studies have demonstrated efficient fish-length estimation from images using deep learning, methods for estimating curved length remain limited.... read more 
ecology

Nanostructured Zirconia thin films as neurogliomorphic interface for neural cells of central and peripheral nervous system

bioRxiv May 26, 2026
Recent advances in neuroscience have highlighted the central role of glial cells, particularly astrocytes, in regulating neural network activity through calcium-dependent neuron-glia communication. In parallel, nanostructured cluster-assembled materi... read more 
bioengineering

A Consensus-Driven Stacking Ensemble Framework for Interpretable Cardiovascular Risk Prediction and Clinical Deployment

medRxiv May 26, 2026
Machine learning (ML) is being considered to help diagnose cardiovascular diseases (CVD). Still, challenges like inconsistent and limited datasets, limited infrastructure, and global inequalities lead to the need for a reliable and practicable ML sol... read more 
health informatics

Automated quantification of cerebral microbleeds for ARIA-H monitoring in Aging and Alzheimer's Disease: A multicenter deep learning validation

medRxiv May 26, 2026
We trained a self-configuring nnU-Net model for CMB segmentation in a heterogeneous multicenter sample (n=264), including 1.5T and 3T field strengths, SWI and T2*-GRE sequences, and community and clinical cohorts. Model performance was evaluated usin... read more 
radiology and imaging

Automated Segmentation of Cerebral Arteries on Three-Dimensional Rotational Angiography Using nnUNet v2: Prospective Validation with Quantitative Metrics and Expert Qualitative Assessment

medRxiv May 26, 2026
Background: Three-dimensional visualization and quantitative analysis of cerebral arteries on 3DRA are central to endovascular treatment planning, device selection, and cerebrovascular research. Manual segmentation is time-consuming and operator-depe... read more 
radiology and imaging

Comparative Study on Image Quality of Deep Learning and Adaptive Statistical Iterative Reconstruction-V in Thin Layer CT of liver Lesions

medRxiv May 26, 2026
Objective:This study aims to compare the advantages and disadvantages of DLIR and adaptive statistical iterative reconstruction-V (ASIR-V) in thin-slice (2.5 mm) CT images of hepatic lesions characterized by high and low contrast. Additionally, the ... read more 
radiology and imaging

Development and validation of a dynamic risk stratification tool for predicting multidrug-resistant bacterial infections in ICU patients: A clinical prediction model and web-based calculator

medRxiv May 26, 2026
Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) substantially elevate patient mortality, prolong hospital stays, and impose heavy healthcare cost burdens. Existing predictive models for ICU-acquired MDR... read more 
intensive care and critical care medicine

Random Forest Model for Predicting Post-Lockdown Antenatal Depression Risk: A Cross-Sectional Study of Pregnant Women in China

medRxiv May 26, 2026
Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infection, potentially impacting their mental health. This study aimed to investigate the prevalence of antenatal depression (AD) post-lockdown and develop p... read more 
public and global health
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