Artificial Intelligence Medical Compendium

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

Showing 58,451 to 58,460 of 227,634 articles

NIMETOX-informed Precision Nomothetic Models of Major Depressive Disorder: Group, Phenome, and Individual Signatures

medRxiv Jan 24, 2026
Background: Major depressive disorder (MDD) is a neuro-immune-metabolic-oxidative (NIMETOX) disorder. Nevertheless, the effects of alterations in immune responsiveness, oxidative stress, antioxidant defenses, gut-derived short-chain fatty acids (SCFA... read more 
psychiatry and clinical psychology

Predicting Protein Cascade Expression from H&E Images

medRxiv Jan 24, 2026
Protein expression within oncogenic or suppressive pathways is a hallmark indicator of oncogenesis. While traditional AI models in digital pathology attempt to predict singular proteins, there is a need to predict the downstream expression of protein... read more 
pathology

Hybrid rule-based and on-premises LLM pipeline for extracting CMR and CPET metrics from free-text reports in repaired tetralogy of Fallot

medRxiv Jan 23, 2026
Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with cardiovascular magnetic resonance (CMR) and cardiopulmonary exercise testing (CPET). However, results are frequently stored as unstructured free-text repo... read more 
cardiovascular medicine

Association of Deep Learning-Derived Temporalis Sarcopenia with Mortality in Acute Ischemic Stroke

medRxiv Jan 23, 2026
Background: Sarcopenia is associated with mortality and morbidity following acute ischemic stroke (AIS), but the diagnosis requires specialized equipment or time-consuming assessments. Computed tomography (CT) measures of temporal muscle volume (TMV)... read more 
neurology

Deep Learning Decodes Latent ECG Signatures of Stress Cardiomyopathy

medRxiv Jan 23, 2026
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which may lead to misdiagnosis and misaligned management decisions. We hypothesize that features derived from the 12-lead ECG can identify cases of SCM and ... read more 
intensive care and critical care medicine

A Mobile AI-enhanced Platform for Standardized Wound Assessment and Clinical Decision Support

medRxiv Jan 23, 2026
Chronic wounds affect over 1.2 million Canadians and incur healthcare costs exceeding $13 billion annually, with global expenditures approaching $149 billion. Current clinical practice relies on manual measurements and subjective visual evaluations, ... read more 
dermatology

Transformer-based structuring of Italian electronic health records with application in cardiac settings

medRxiv Jan 23, 2026
Purpose: Natural Language Processing (NLP) has the potential to extract structured clinical knowledge from unstructured Electronic Health Records (EHRs). However, the limited availability of annotated datasets for algorithm training restricts its app... read more 
health informatics

Detecting Cardiac Amyloidosis in Italian Cardiology Reports: Structured Variable Extraction versus Direct Free-Text Analysis

medRxiv Jan 23, 2026
Background: Early and accurate identification of cardiac amyloidosis improves patient outcomes, yet relevant evidence is frequently hidden in free-text records. This study assesses whether structured variable extraction or direct free-text analysis m... read more 
health informatics

Advancements in Multilingual Biomedical Natural Language Processing: exploring Large Language Models for Named Entity Recognition and Linking

medRxiv Jan 23, 2026
Linking (BEL) are essential for transforming unstructured Electronic Health Records (EHRs) into structured information. However, tools for these tasks are limited in non-English biomedical texts such as Dutch and Italian. This study investigates the ... read more 
health informatics

Machine learning and burden analyses highlight novel genes in Parkinson's Disease

medRxiv Jan 23, 2026
Background Genome-wide association studies (GWAS) have identified numerous risk loci for Parkinson's disease, yet identifying causal genes and mechanisms remains challenging due to non-coding associations and complex linkage disequilibrium. Methods W... read more 
genetic and genomic medicine
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