Artificial Intelligence Medical Compendium

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

Showing 3,571 to 3,580 of 168,679 articles

CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion

arXiv
This study presents CORE-ReID V2, an enhanced framework building upon CORE-ReID. The new framework extends its predecessor by addressing Unsupervised Domain Adaptation (UDA) challenges in Person ReID and Vehicle ReID, with further applicability to ... read more 

KG-Augmented Executable CoT for Mathematical Coding

arXiv
In recent years, large language models (LLMs) have excelled in natural language processing tasks but face significant challenges in complex reasoning tasks such as mathematical reasoning and code generation. To address these limitations, we propose... read more 

An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs

arXiv
Large Language Models (LLMs) are a double-edged sword capable of generating harmful misinformation -- inadvertently, or when prompted by "jailbreak" attacks that attempt to produce malicious outputs. LLMs could, with additional research, be used to... read more 

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance.

Epilepsia
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more 

VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones

arXiv
Recent studies have revealed that vision models pre-trained on images can perform well in time series forecasting by reformulating forecasting as an image reconstruction task, suggesting their potential as universal time series foundation models. H... read more 

DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification

arXiv
As black-box AI-driven decision-making systems become increasingly widespread in modern document processing workflows, improving their transparency and reliability has become critical, especially in high-stakes applications where biases or spurious... read more 

PEYOLO a perception efficient network for multiscale surface defects detection.

Scientific reports
Steel defect detection is a crucial aspect of steel production and quality control. Therefore, focusing on small-scale defects in complex production environments remains a critical challenge. To address this issue, we propose an innovative perception... read more 

Optimization of sliding control parameters for a 3-dof robot arm using genetic algorithm (GA)

arXiv
This paper presents a method for optimizing the sliding mode control (SMC) parameter for a robot manipulator applying a genetic algorithm (GA). The objective of the SMC is to achieve precise and consistent tracking of the trajectory of the robot ma... read more 

Reusable Noncomplementary DNA-Based Neural Network.

Journal of the American Chemical Society
Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more 

Radar-Based NLoS Pedestrian Localization for Darting-Out Scenarios Near Parked Vehicles with Camera-Assisted Point Cloud Interpretation

arXiv
The presence of Non-Line-of-Sight (NLoS) blind spots resulting from roadside parking in urban environments poses a significant challenge to road safety, particularly due to the sudden emergence of pedestrians. mmWave technology leverages diffractio... read more