Artificial Intelligence Medical Compendium

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

Showing 1,481 to 1,490 of 163,957 articles

The role of face regions in remote photoplethysmography for contactless heart rate monitoring.

NPJ digital medicine Jul 26, 2025
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spu... read more 

Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control

arXiv Jul 26, 2025
This work introduces a self-supervised neuro-analytical, cost efficient, model for visual-based quadrotor control in which a small 1.7M parameters student ConvNet learns automatically from an analytical teacher, an improved image-based visual servo... read more 
Computer Vision and Pattern Recognition Robotics

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity Jul 26, 2025
Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more 

Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization

arXiv Jul 26, 2025
Background: Manual extraction of pancreatic cystic lesion (PCL) features from radiology reports is labor-intensive, limiting large-scale studies needed to advance PCL research. Purpose: To develop and evaluate large language models (LLMs) that auto... read more 
Artificial Intelligence Computation and Language Information Retrieval

Deep learning application to hyphae and spores identification in fungal fluorescence images.

Scientific reports Jul 26, 2025
This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fu... read more 

Offloading tracing for real-time systems using a scalable cloud infrastructure

arXiv Jul 26, 2025
Real-time embedded systems require precise timing and fault detection to ensure correct behavior. Traditional tracing tools often rely on local desktops with limited processing and storage capabilities, which hampers large-scale analysis. This pape... read more 
Distributed, Parallel, and Cluster Computing D.2.5; C.3; D.2.11

Sequence-based protein-protein interaction prediction and its applications in drug discovery

arXiv Jul 26, 2025
Aberrant protein-protein interactions (PPIs) underpin a plethora of human diseases, and disruption of these harmful interactions constitute a compelling treatment avenue. Advances in computational approaches to PPI prediction have closely followed ... read more 
Biomolecules Machine Learning

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering Jul 26, 2025
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more 

A classification method for fluorescence emission spectra of anionic surfactants with few-shot learning.

Journal of molecular modeling Jul 26, 2025
CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more 

$K^4$: Online Log Anomaly Detection Via Unsupervised Typicality Learning

arXiv Jul 26, 2025
Existing Log Anomaly Detection (LogAD) methods are often slow, dependent on error-prone parsing, and use unrealistic evaluation protocols. We introduce $K^4$, an unsupervised and parser-independent framework for high-performance online detection. $... read more 
Machine Learning Computation and Language Distributed, Parallel, and Cluster Computing
Popular Topics
Recent Journals