Artificial Intelligence Medical Compendium

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

Showing 1,571 to 1,580 of 163,957 articles

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

Stroke Jul 25, 2025
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more 

Advances and challenges in AI-assisted MRI for lumbar disc degeneration detection and classification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jul 25, 2025
PURPOSE: Intervertebral disc degeneration (IDD) is a major contributor to chronic low back pain. Magnetic resonance imaging (MRI) serves as the gold standard for IDD assessment, yet manual grading is often subjective and inconsistent. With advances i... read more 

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

VASA. Zeitschrift fur Gefasskrankheiten Jul 25, 2025
Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population level but are often inaccurate at the individual level. Detecting preclinical atherosclerotic plaques in the carotid and common femoral arterial bifurcati... read more 

Learned Image Compression with Hierarchical Progressive Context Modeling

arXiv Jul 25, 2025
Context modeling is essential in learned image compression for accurately estimating the distribution of latents. While recent advanced methods have expanded context modeling capacity, they still struggle to efficiently exploit long-range dependenc... read more 
Image and Video Processing Computer Vision and Pattern Recognition Multimedia

Letter to the Editor: "Development and Validation of a Deep Learning Ultrasound Radiomics Model for Predicting Drug Resistance in Lymph Node Tuberculosis a Multicenter Study".

International journal of surgery (London, England) Jul 25, 2025
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Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Circulation. Arrhythmia and electrophysiology Jul 25, 2025
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LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

arXiv Jul 25, 2025
Large Vision-Language Models (LVLMs) have transformed image captioning, shifting from concise captions to detailed descriptions. We introduce LOTUS, a leaderboard for evaluating detailed captions, addressing three main gaps in existing evaluations:... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Computers and Society Machine Learning

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation

arXiv Jul 25, 2025
In multi-center scenarios, One-Shot Federated Learning (OSFL) has attracted increasing attention due to its low communication overhead, requiring only a single round of transmission. However, existing generative model-based OSFL methods suffer from... read more 
Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Jul 25, 2025
BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its sensitivity for detecting large vessel occlusion (LVO) is limited. Artificial intelligence (AI) algorithms may contribute to a faster LVO diagnosis us... read more 

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet

arXiv Jul 25, 2025
Autonomous vehicles generate massive volumes of point cloud data, yet only a subset is relevant for specific tasks such as collision detection, traffic analysis, or congestion monitoring. Effectively querying this data is essential to enable target... read more 
Computer Vision and Pattern Recognition Multimedia
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