Artificial Intelligence Medical Compendium

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

Showing 1,081 to 1,090 of 213,401 articles

What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?

medRxiv Jul 20, 2026
Deep learning classifiers applied to structural MRI (sMRI) have achieved high performance in detecting Alzheimer's Disease (AD), yet systematic investigation of their failure modes remains limited. In this study, we trained two deep learning architec... read more 
neurology

Machine learning models to improve targeting of blood culture testing

medRxiv Jul 20, 2026
Background Bloodstream infections are a major cause of mortality, yet the primary testing method, blood cultures, have low positivity (<10%) and turnaround times of 24 - 48 hours. Many are taken from patients at low risk of infection, while some bloo... read more 
infectious diseases

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

medRxiv Jul 20, 2026
People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and developmental disabilities. While a large proportion of mortality is attributable to Alzheimers disease... read more 
epidemiology

A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records

medRxiv Jul 19, 2026
Objective To develop and evaluate a framework for human-AI interaction. This approach, SHARE (Synergistic Human-Agent REasoning system) was designed to support scalable phenotyping of complex outcomes accurately, robustly and reproducibly from real-w... read more 
health informatics

Development and external validation of deep learning models for spontaneous preterm birth prediction from mid-trimester cervical ultrasound

medRxiv Jul 19, 2026
Preterm birth is the leading cause of neonatal death. Despite sustained efforts to identify high-risk women in the mid-trimester, accurate prediction remains difficult. Quantitative cervical ultrasound texture has been proposed as a predictor of spon... read more 
obstetrics and gynecology

Transient Apical Sparing in Hypertensive Heart Disease Explained by Laplace's Law

medRxiv Jul 19, 2026
Background: Apical sparing of left ventricular longitudinal strain (LS) is an echocardiographic clue to cardiac amyloidosis but may also occur in hypertensive heart disease (HHD). Objectives: To determine whether apical sparing in HHD is associated w... read more 
cardiovascular medicine

Validating Artificial Intelligence Guidance for Ultrasound Acquisition and Remote Interpretation

medRxiv Jul 19, 2026
Background: Venous thromboembolism (VTE), including deep vein thrombosis (DVT), remains a major global health burden. Diagnostic pathways rely on ultrasound but are limited by availability and prolonged time-to-imaging. Novel artificial intelligence ... read more 
radiology and imaging

A Preoperative Electroencephalography Signature for Predicting Treatment Response to Deep Brain Stimulation in Obsessive-Compulsive Disorder

medRxiv Jul 19, 2026
Deep brain stimulation (DBS) is effective for treatment-refractory obsessive-compulsive disorder (OCD), but outcomes are heterogeneous and non-responders incur surgical and financial burden. We sought a scalable, non-invasive preoperative signature o... read more 
psychiatry and clinical psychology

Learning to read a second language establishes a parallel L2 representation alongside the native one in the VWFA

bioRxiv Jul 19, 2026
Learning to read a second language requires the brain to incorporate a new writing system into an already established native-language reading network, yet how this process reshapes the Visual Word Form Area (VWFA) remains poorly understood. Using fMR... read more 
neuroscience

Predicting phenotypes with one step genetic decision trees

bioRxiv Jul 19, 2026
Genomic prediction of complex traits is limited when phenotype records are restricted and when using linear models. Increasing the amount of phenotypic data with high-throughput, image-based phenotyping could result in better genomic prediction and s... read more 
genomics
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