Artificial Intelligence Medical Compendium

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

Showing 4,831 to 4,840 of 174,202 articles

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025
Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more 
Male Middle Aged Risk Factors Aged Support Vector Machine Stroke Risk Assessment Logistic Models Humans Machine Learning Retrospective Studies Female

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Aug 20, 2025
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provide fine-grained information that physicians consider, in conjunction w... read more 

Computer vision detects covert voluntary facial movements in unresponsive brain injury patients.

Communications medicine Aug 20, 2025
BACKGROUND: Many brain injury patients who appear unresponsive retain subtle, purposeful motor behaviors, signaling capacity for recovery. We hypothesized that low-amplitude movements precede larger-amplitude voluntary movements detectable by clinici... read more 

People overlook subtractive solutions to mental health problems.

Communications psychology Aug 20, 2025
To solve problems, people tend to add new components to them rather than subtract from them. Across eight experimental and naturalistic studies, we examined if more additive (to start something new or do more) than subtractive advice (to stop or do l... read more 

Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma.

BMC cancer Aug 20, 2025
BACKGROUND: Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integra... read more 
Aged Adult Tomography, X-Ray Computed Female Middle Aged Gene Expression Regulation, Neoplastic Biomarkers, Tumor Male Humans Machine Learning Prognosis Retrospective Studies Kidney Neoplasms Carcinoma, Renal Cell Magnetic Resonance Imaging MicroRNAs

Personalized Counterfactual Framework: Generating Potential Outcomes from Wearable Data

arXiv Aug 20, 2025
Wearable sensor data offer opportunities for personalized health monitoring, yet deriving actionable insights from their complex, longitudinal data streams is challenging. This paper introduces a framework to learn personalized counterfactual model... read more 
Machine Learning

Introduction of sub-band augmentation with machine learning to develop an insomnia classification model using single-channel EEG signals.

Physiological measurement Aug 20, 2025
Biological signals can be used to record sleep activities and can be used to identify sleep disorders. Insomnia is a sleep disorder that can be detected using supervised learning models developed using biological signal analysis. The baseline insomni... read more 

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models

arXiv Aug 20, 2025
Adversarial attacks from generative models often produce low-quality images and require substantial computational resources. Diffusion models, though capable of high-quality generation, typically need hundreds of sampling steps for adversarial gene... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling

arXiv Aug 20, 2025
Most existing illumination-editing approaches fail to simultaneously provide customized control of light effects and preserve content integrity. This makes them less effective for practical lighting stylization requirements, especially in the chall... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI

arXiv Aug 20, 2025
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low spatial resolution and noise, particularly affecting near-wall veloci... read more 
Image and Video Processing Machine Learning
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