Artificial Intelligence Medical Compendium

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

Showing 24,581 to 24,590 of 217,425 articles

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

arXiv Apr 29, 2026
Accurate prediction of conversion from Mild Cognitive Impairment (MCI) to Alzheimers Diseases (AD) is essential for early intervention, however, developing reliable conversion predictive models is difficult to develop due to limited longitudinal data... read more 
Artificial Intelligence

HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation

arXiv Apr 29, 2026
Semantic segmentation in remote sensing is commonly addressed using classical deep learning architectures such as U-Net, which require a large number of parameters to model complex spatial relationships. Quantum machine learning (QML) provides an alt... read more 
Computer Vision and Pattern Recognition

AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification

arXiv Apr 29, 2026
Person re-identification (ReID) systems that match individuals across images or video frames are essential in many real-world applications. However, existing methods are often influenced by attributes such as gender, pose, and body mass index (BMI), ... read more 
Computer Vision and Pattern Recognition

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations

arXiv Apr 29, 2026
Time-series classification (TSC) has advanced significantly with deep learning, yet most models rely solely on raw numerical inputs, overlooking alternative representations. While texture-based encodings such as Gramian Angular Fields (GAF) and Recur... read more 
Computer Vision and Pattern Recognition cs.LG

OptimusKG: Unifying biomedical knowledge in a modern multimodal graph

arXiv Apr 29, 2026
Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and therefore lack schema-level constrains, whereas graphs assembled from structured resources are difficult to harmonize into a ... read more 
Artificial Intelligence

AdvDMD: Adversarial Reward Meets DMD For High-Quality Few-Step Generation

arXiv Apr 29, 2026
Diffusion models offer superior generation quality at the expense of extensive sampling steps. Distillation methods, with Distribution Matching Distillation (DMD) as a popular example, can mitigate this issue, but performance degradation remains pr... read more 
Computer Vision and Pattern Recognition cs.AI

Quantitative CT Measurements of Interstitial Lung Disease: Same-Day Variability Between Two Vendors-A Prospective Study.

AJR. American journal of roentgenology Apr 29, 2026
BACKGROUND. Clinical application of quantitative CT (QCT) measurements of interstitial lung disease (ILD) for longitudinal monitoring of disease progression requires an understanding of how such measurements vary across vendors. OBJECTIVE. The purpos... read more 

Opportunities and risks of large language models in digital interventions for substance use disorders.

Current opinion in psychiatry Apr 29, 2026
PURPOSE OF REVIEW: Large language models (LLMs) are increasingly integrated into digital mental health tools, yet their role in substance use disorder (SUD) interventions remains poorly understood. This review synthesizes emerging evidence on the opp... read more 

Effect of markers in training dataset for markerless applications in biomechanics.

Journal of biomechanics Apr 29, 2026
The quality of dataset annotations used to train markerless motion capture models is crucial for obtaining reliable joint center estimations from videos. Because manually annotated datasets such as COCO are unsuitable for biomechanical applications, ... read more 

Machine and deep learning in REM sleep behavior disorder: a scoping review and analysis of reporting quality.

Sleep medicine reviews Apr 29, 2026
Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia, and its isolated form is of particular interest, as it is an early phase alpha-synucleinopathy. Machine learning (ML) and deep learning (DL) models offer potential for automated ... read more 
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