Artificial Intelligence Medical Compendium

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

Showing 38,161 to 38,170 of 223,469 articles

Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Mar 27, 2026
BACKGROUND: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby. ... read more 

Artificial intelligence integration in critical care nursing.

Evidence-based nursing Mar 26, 2026
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CT Radiomic Features Are Associated with DNA Copy Number Alterations of Head and Neck Squamous Cell Carcinomas.

AJNR. American journal of neuroradiology Mar 26, 2026
BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) genomes is characterized by a high prevalence of copy number alterations (CNA-positive), a smaller subset with more favorable oncologic outcome is instea... read more 

Using AI scribes in New Zealand primary care consultations: an exploratory survey.

Journal of primary health care Mar 26, 2026
INTRODUCTION: AI scribes have had a rapid uptake in primary care across New Zealand (NZ). The benefits of this new technology must be weighed against the potential risks they may pose. AIM: This study provides a snapshot of AI scribes use in primary ... read more 

Deep learning and object detection methods for scoring cell types within the human buccal cell micronucleus and cytome assays for human biomonitoring.

Mutagenesis Mar 26, 2026
Micronuclei (MN) are critical biomarkers for pathological conditions, yet their manual scoring is inherently laborious and prone to significant interobserver variability, limiting the reliability and scalability of genotoxicity assessments. Recent ad... read more 

Multimodal CT Perfusion-Based Deep Learning for Predicting Stroke Lesion Outcomes in Complete and No Recanalization Scenarios.

AJNR. American journal of neuroradiology Mar 26, 2026
BACKGROUND AND PURPOSE: Predicting the final location and volume of lesions in acute ischemic stroke is crucial for clinical management. While CTP is routinely used for estimating lesion outcomes, conventional threshold-based methods have limitations... read more 

Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI

arXiv Mar 26, 2026
We present Doctorina MedBench, a comprehensive evaluation framework for agent-based medical AI based on the simulation of realistic physician-patient interactions. Unlike traditional medical benchmarks that rely on solving standardized test questions... read more 
Computation and Language cs.AI cs.LG cs.MA

ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners?

arXiv Mar 26, 2026
Beneath the stunning visual fidelity of modern AIGC models lies a "logical desert", where systems fail tasks that require physical, causal, or complex spatial reasoning. Current evaluations largely rely on superficial metrics or fragmented benchmarks... read more 
Computer Vision and Pattern Recognition cs.AI

Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents

arXiv Mar 26, 2026
We propose a feed-forward method for dense Signed Distance Field (SDF) regression from unstructured image collections in less than three seconds, without camera calibration or post-hoc fusion. Our key insight is that the intermediate feature space of... read more 
Computer Vision and Pattern Recognition

Incorporating contextual information into KGWAS for interpretable GWAS discovery

arXiv Mar 26, 2026
Genome-Wide Association Studies (GWAS) identify associations between genetic variants and disease; however, moving beyond associations to causal mechanisms is critical for therapeutic target prioritization. The recently proposed Knowledge Graph GWAS ... read more 
Machine Learning
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