Artificial Intelligence Medical Compendium

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

Showing 50,301 to 50,310 of 224,814 articles

Automated Coronary Artery Disease Detection Using a CNN Model with Temporal Attention

medRxiv
Coronary Artery Disease (CAD) is a leading cause of cardiovascular-related mortality and affects 20.5 million people in the United States and approximately 315 million people worldwide in 2022. The asymptomatic and progressive nature of CAD presents ... read more 

Detection-Guided Artifact Removal for Clinical EEG: A Deep Learning Framework

medRxiv
Objective: We developed and validated a detection-guided artifact removal framework for clinical electroencephalography (EEG). The framework applies artifact correction only to the contaminated segments and preserves artifact-free data without modifi... read more 

Boards-style benchmarks overestimate prior-chat bias in large language models: a factorial evaluation study

medRxiv
Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart review and clinical decision support. Although leading models achieve and even exceed physician-level accuracy on exam-style benchmarks such as MedQA, rece... read more 

Clinical validation of automated and multiple manual callosal angle measurement methods in idiopathic normal pressure hydrocephalus

medRxiv
Introduction Idiopathic normal pressure hydrocephalus (iNPH) is a partially reversible neurological disorder in which imaging biomarkers support diagnosis and surgical decision-making. The callosal angle (CA) is one of the most robust radiological ma... read more 

Patterns of preventable death and government response compliance across Australian coronial jurisdictions: a natural language processing analysis of 9833 findings

medRxiv
ABSTRACT Objectives: To quantify patterns of preventable death in Australian coronial findings, measure government compliance with coroner recommendations across jurisdictions, and identify case characteristics associated with recommendation issuance... read more 

CausalCellInfer: Resolving cell-type-specific disease mechanisms from biobank-scale GWAS

medRxiv
Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic depth of population-scale biobanks is essential for elucidating the cellular basis of complex diseases. However, this integration is often hindered by t... read more 

Deep-learning based adaptive fusion of CC and MLO views for improved mammographic cancer diagnosis.

MethodsX
Breast cancer remains the most prevalent malignancy among women worldwide. The timely detection of this cancer type is critical for improving survival outcomes. Despite advancements, mammogram classification using deep learning strategies still faces... read more 

Discrimination between Mycobacterium tuberculosis and Mycobacterium bovis using Fourier transform infrared spectroscopy.

One health (Amsterdam, Netherlands)
Zoonotic tuberculosis (TB) caused by Mycobacterium bovis (Mbo) is a neglected disease that hinders efforts to eradicate human tuberculosis. Developing a rapid, high-throughput diagnostic test to distinguish Mbo from Mycobacterium tuberculosis (Mtb) i... read more 

CoSuBio: Confidence and success dataset based on multimodal biosignals.

Data in brief
Understanding how self-confidence fluctuates during cognitive activity and how these fluctuations relate to objective physiological signals remains a challenge in psychological and computational research. Existing multimodal datasets predominantly fo... read more 

Peripheral immune landscape in pancreatic ductal adenocarcinoma reveals expansion of effector states with disease progression.

iScience
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to the limited sensitivity and specificity of current modalities. To explore alternative strategies, we developed a high-dimensional immune profiling frame... read more