Artificial Intelligence Medical Compendium

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

Showing 2,921 to 2,930 of 168,134 articles

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion Aug 6, 2025
A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more 

Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework

arXiv Aug 6, 2025
User-controllable privacy is important in modern sensing systems, as privacy preferences can vary significantly from person to person and may evolve over time. This is especially relevant in devices equipped with Inertial Measurement Unit (IMU) sen... read more 
Machine Learning Artificial Intelligence

Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Scientific reports Aug 6, 2025
Alzheimer's disease (AD) presents a pressing global health challenge, demanding improved strategies for early detection and understanding its progression. In this study, we address this need by employing survival analysis techniques to predict transi... read more 
Disease Progression Comorbidity Aged, 80 and over Male Machine Learning Survival Analysis Cognitive Dysfunction Female Neuroimaging Risk Factors Alzheimer Disease Aged Humans

Analyzing and Mitigating Object Hallucination: A Training Bias Perspective

arXiv Aug 6, 2025
As scaling up training data has significantly improved the general multimodal capabilities of Large Vision-Language Models (LVLMs), they still suffer from the hallucination issue, generating text that is inconsistent with the visual input. This phe... read more 
Computer Vision and Pattern Recognition Computation and Language

Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals

arXiv Aug 6, 2025
As artificial intelligence becomes increasingly integrated into digital learning environments, the personalization of learning content to reflect learners' individual career goals offers promising potential to enhance engagement and long-term motiv... read more 
Artificial Intelligence Computers and Society

Comparative Analysis of Novel NIRMAL Optimizer Against Adam and SGD with Momentum

arXiv Aug 6, 2025
This study proposes NIRMAL (Novel Integrated Robust Multi-Adaptation Learning), a novel optimization algorithm that combines multiple strategies inspired by the movements of the chess piece. These strategies include gradient descent, momentum, stoc... read more 
Information Retrieval Artificial Intelligence

KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs

arXiv Aug 6, 2025
Key-Value (KV) cache quantization has become a widely adopted optimization technique for efficient large language models (LLMs) inference by reducing KV cache memory usage and mitigating memory-bound constraints. Recent studies have emphasized the ... read more 
Computation and Language

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model

arXiv Aug 6, 2025
Concept Erasure, which aims to prevent pretrained text-to-image models from generating content associated with semantic-harmful concepts (i.e., target concepts), is getting increased attention. State-of-the-art methods formulate this task as an opt... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

Single cell density prediction based on optically induced electrokinetics (OEK) and machine learning.

Analytical methods : advancing methods and applications Aug 6, 2025
Single cell density is a key indicator for judging cell physiological state, crucial for studying cell function. However, existing measurement methods are often complex and time-consuming, limiting their efficiency in practical applications. To addre... read more 

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI

arXiv Aug 6, 2025
Accurate estimation of intravoxel incoherent motion (IVIM) parameters from diffusion-weighted MRI remains challenging due to the ill-posed nature of the inverse problem and high sensitivity to noise, particularly in the perfusion compartment. In th... read more 
Image and Video Processing Artificial Intelligence Machine Learning
Popular Topics
Recent Journals