Artificial Intelligence Medical Compendium

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

Showing 40,831 to 40,840 of 223,737 articles

EchoAtlas: A Conversational, Multi-View Vision-Language Foundation Model for Echocardiography Interpretation and Clinical Reasoning

medRxiv Mar 17, 2026
Echocardiography is the most widely used cardiac imaging modality, yet artificial intelligence-enabled interpretation remains limited by the inability of existing models to integrate visual assessment, quantitative measurement, and clinical reasoning... read more 
cardiovascular medicine

Context-Aware Emergency Department Triage Using Pairwise Comparisons and Bradley-Terry Aggregation

medRxiv Mar 17, 2026
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization that uses pairwise clinical comparisons aggregated via a Bradley-Terry model, and to assess its cross-site stability without site-specific training. M... read more 
health informatics

TrialScout links published results to trial registrations using a large language model

medRxiv Mar 17, 2026
Background: Multiple stakeholders need to locate results of registered clinical trials but frequently struggle to find them. Summary results of clinical trials are often not published in trial registries, and publications containing trial results are... read more 
epidemiology

A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individuals

medRxiv Mar 17, 2026
Objectives Patients with osteoarthritis (OA) affecting multiple joints have poorer health outcomes than those without, yet most research examines isolated joints, leaving a gap in multi-joint disease. This study aimed to describe radiographically def... read more 
rheumatology

What Your bowel Sounds Can Tell: The Hidden Language of Digestive Health

medRxiv Mar 17, 2026
Purpose: While bowel sound auscultation represents a key component of abdominal examination, its utility is limited because bowel sounds (BS) are intermittent, variable, and influenced by factors such as diet and digestive state. This renders it chal... read more 
gastroenterology

Development and validation of a deep learning model for the automated detection of vertebral artery calcification on non-contrast head-and-neck computed tomography

medRxiv Mar 17, 2026
Background: Vertebral artery calcification (VAC), a critical indicator of cerebrovascular disease, is often overlooked in head-and-neck imaging. Manual detection is time-consuming and prone to inter-observer variability. This study aimed to develop a... read more 
radiology and imaging

Comparative Evaluation of Microstructural Diffusion Methods in Characterizing Multiple Sclerosis Lesions: The Importance of multi-b shells acquisition

medRxiv Mar 17, 2026
Background: Diffusion MRI (dMRI) is widely used to assess microstructural abnormalities in multiple sclerosis (MS), yet conventional diffusion tensor imaging (DTI) is limited by single b shell acquisitions and reduced pathological specificity. Higher... read more 
radiology and imaging

Automated Detection and Quantification of Hemorrhagic Transformation After Endovascular Thrombectomy

medRxiv Mar 17, 2026
Background Hemorrhagic transformation (HT) after endovascular thrombectomy (EVT) is a principal determinant of clinical outcome. Artificial intelligence (AI) algorithms for spontaneous hemorrhage detection exist, but none has been validated for post-... read more 
neurology

Trust in, acceptance of, and responsibility for, artificial intelligence in healthcare: patient and healthcare practitioner considerations

medRxiv Mar 17, 2026
Objectives Using qualitative methods, this study aimed to provide a comparative overview of the similarities and differences in perspectives towards AI in healthcare in two different stakeholder groups: healthcare practitioners and patients. It also ... read more 
medical ethics

CoNVict: An Agentic AI System for Copy Number Variation Prioritization in Rare Disease Diagnosis

medRxiv Mar 17, 2026
Copy number variants (CNVs) are established contributors to rare genetic disorders, yet their clinical interpretation remains challenging in diagnostic genomics. Large CNVs frequently encompass multiple functional regions whose clinical significance ... read more 
genetic and genomic medicine
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