Artificial Intelligence Medical Compendium

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

Showing 9,721 to 9,730 of 208,614 articles

Impact of AI-Assisted Mammography Reading on Quality Indicators in the Czech Breast Cancer Screening Programme: A Retrospective Study

medRxiv May 26, 2026
Objectives: The aim of mammographic screening is the early detection of invasive cancers. In the era of artificial intelligence (AI), this tool may improve diagnosis of earlier stages. The purpose of this study was to assess the impact on selected qu... read more 
oncology

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

EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose.

Updates in surgery May 26, 2026
Minimally invasive laparoscopic surgery often suffers from limited depth perception and constrained visual fields. To address these limitations, we introduce EasyVis2, an enhanced hands-free, real-time 3D visualization system based on the previous Ea... read more 

Integrative advances in biomarker-driven prostate cancer management from genomic discovery to precision oncology.

Discover oncology May 26, 2026
Prostate cancer (PCa) is the second most common malignancy in men worldwide, with rising mortality linked to late-stage diagnoses. While current diagnostic strategies rely heavily on biomarker detection, their limitations highlight the need for compr... read more 

Semi-automatic individual tooth segmentation from CBCT images using anatomy-guided deep neural networks and watershed transform.

Medical & biological engineering & computing May 26, 2026
Individual tooth segmentation in cone beam computed tomography (CBCT) scan plays a crucial role in quantitatively analyzing oral diseases. However, the existing full-automatic methods exhibit limited accuracy and robustness due to the complex noise a... read more 
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