Artificial Intelligence Medical Compendium

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

Showing 46,981 to 46,990 of 224,199 articles

Towards Translational Sleep Staging: A Cross-Species Deep-Learning Model for Rodent and Human EEG

bioRxiv Feb 26, 2026
Study Objectives Automated sleep staging underpins clinical sleep assessment and translational neuroscience, yet most data analyses work addresses human and animal data separately. We tested whether a seizure-oriented machine learning framework can b... read more 
bioengineering

Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies

bioRxiv Feb 26, 2026
Differences in microbiome composition profoundly influence drug response, yet methods to model the metabolic interplay between tumors, microbes, and therapeutics remain limited. We present a generalizable framework combining machine learning and geno... read more 
bioinformatics

Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells

bioRxiv Feb 26, 2026
Common genetic variants contribute to risk for complex human diseases. However, despite thousands of associations, variants modulating disease risk and their functional impact remain largely unknown. This includes SARS-CoV-2 infection, where outcomes... read more 
molecular biology

Machine learning-based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019

medRxiv Feb 26, 2026
Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising burdens in Africa due to ageing populations, lifestyle changes, and poor risk factor control. Conventional risk scores developed in high-income settings... read more 
epidemiology

Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models

medRxiv Feb 26, 2026
Clinical deployment of foundation models requires decision policies that operate under explicit error budgets, such as a cap on false-positive clinical calls. Strong average accuracy alone does not guarantee safety: errors can concentrate among patie... read more 
health informatics

Onco-Shikshak: An AI-Native Adaptive Learning Ecosystem for Medical Oncology Education

medRxiv Feb 26, 2026
Medical oncology education faces a dual crisis: knowledge velocity that outpaces static curricula and large language model (LLM) risks hallucination and automation bias, that threaten the fidelity of AI assisted learning. We present Onco Shikshak (sh... read more 
oncology

On the robustness of medical term representations in locally deployable language models

medRxiv Feb 26, 2026
Background: Hosting large language models (LLMs) on premises can secure patient data but requires compact architectures to function on standard hardware. The impact of such constraints on the robustness of their representations for medical terminolog... read more 
health informatics

CT-based Automated Volumetry as a Biomarker of Global and Split Renal Function in Living Kidney Donors

medRxiv Feb 26, 2026
Background: Kidney volumetry derived from CT has been proposed as a surrogate of renal function in living kidney donor evaluation. However, clinical integration has been limited by reader-dependent workflows and semiautomatic methods susceptible to i... read more 
radiology and imaging

VALIDATION OF PROGRESS, A SIMPLE MACHINE-LEARNING DERIVED RISK STRATIFICATION SCORE FOR CASTRATION-RESISTANT PROSTATE CANCER

medRxiv Feb 26, 2026
Purpose: Castration-resistant prostate cancer (CRPC) is characterized by marked clinical heterogeneity and poor long-term survival, underscoring the need for tools that can rapidly and reliably individualize patient risk. While several prognostic mod... read more 
oncology

Association between Interictal Spike Rate and Seizure Frequency in a Large Epilepsy Cohort

medRxiv Feb 26, 2026
Importance: Tracking and predicting seizure frequency in patients with epilepsy is important for prognostication and therapy management. Interictal spikes have been proposed as a biomarker of seizure burden, but their association with seizure frequen... read more 
neurology
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