Artificial Intelligence Medical Compendium

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

Showing 20,311 to 20,320 of 215,962 articles

Multimodal Wearable System for Objective Assessment of Dynamic Rotational Knee Biomechanics Following ACL Injury and Reconstruction: A Clinical Validation Study Using Ensemble Deep Learning

medRxiv May 12, 2026
ABSTRACT Background The clinical assessment of knee stability after an Anterior Cruciate Ligament (ACL) injury is routinely conducted via operator-dependent physical examination tests (i.e. pivot shift) and standardized patient-reported outcomes. Unf... read more 
orthopedics

Development of a Deep Learning Model Integrating CT Images and Blood Data for the Diagnosis of Acute Cholecystitis

medRxiv May 12, 2026
Purpose: In this study, we aimed to develop and evaluate an artificial intelligence-based diagnostic model for the diagnosis of acute cholecystitis (AC) using non-contrast CT images and clinical data. Materials and Methods: This retrospective study i... read more 
radiology and imaging

Epidemiology-Informed Graph Neural Networks for Predicting and Interpreting Transmissible Hospital-Acquired Infections: A Retrospective Cohort and Simulation Study

medRxiv May 12, 2026
Transmissible hospital-acquired infections (HAIs) arise from complex, time-varying interactions among patients, healthcare workers, and clinical environments. Although data-driven approaches like graph neural networks (GNNs) effectively model these c... read more 
health informatics

Three Decades of FDA Authorizations of AI/ML Enabled Medical Devices: Persistent Specialty Concentration and the Care Delivery Gap (1995 to 2025)

medRxiv May 12, 2026
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and machine learning (AI/ML)-enabled medical devices that have received marketing authorization. Prior published analyses examined this list at earlier time ... read more 
health informatics

MRI reveals the hierarchical organization of abdominal biological aging from shared burden to disease-specific organ engagement

medRxiv May 12, 2026
Multi-organ biological aging is often represented as parallel organ-specific clocks, but how age gaps should be interpreted within an anatomically coupled imaging system remains unclear. Applying end-to-end deep learning to abdominal Dixon MRI from 6... read more 
radiology and imaging

Characterization of menopause onset and associated disease risks using large-scale electronic health records

medRxiv May 12, 2026
Menopause affects over one billion women worldwide, yet remains poorly characterized at scale. We apply an ICD-10-based phenotyping algorithm to electronic health records (EHR) from an academic medical center (n=33,444 women aged 35-64) and a safety-... read more 
obstetrics and gynecology

GHOSTS: Generation of synthetic hospital time series for clinical machine learning research

medRxiv May 12, 2026
Machine learning (ML) holds great promise to support, improve, and automatize clinical decision-making in hospitals. Data protection regulations, however, hinder abundantly available routine data from being shared across sites for model training. Gen... read more 
health informatics

Swarm-GestaltMatcher: distributed Gestalt learning through Swarm Learning to enhance facial phenotyping for rare genetic syndromes

medRxiv May 12, 2026
Deep learning-based facial phenotyping represents a major paradigm shift in the diagnosis of rare and ultra-rare genetic disorders. By capturing disease-specific craniofacial 'gestalts' that are often subtle, overlapping, but overlooked in routine cl... read more 
health informatics

Kinome profiling allows examination and prediction of kinase inhibitor cardiotoxicity

bioRxiv May 12, 2026
Background: Despite improved cancer outcomes with kinase inhibitors (KIs), their cardiotoxicity remains a significant clinical challenge. Current approaches to predict and prevent KI-induced cardiac adverse events (CAEs) are limited by an incomplete ... read more 
systems biology

CardioSafe: Multi-task prediction of cardiac ion channel activity with reverse-leak audited benchmarking

bioRxiv May 12, 2026
Drug-induced inhibition of the hERG potassium channel is the leading cause of cardiac safety-related drug attrition, but the Comprehensive in Vitro Proarrhythmia Assay (CiPA) framework requires activity data on multiple cardiac ion channels to assess... read more 
bioinformatics
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