Artificial Intelligence Medical Compendium

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

Showing 3,561 to 3,570 of 168,679 articles

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework

arXiv Aug 6, 2025
We propose 3D Super Resolution (3DSR), a novel 3D Gaussian-splatting-based super-resolution framework that leverages off-the-shelf diffusion-based 2D super-resolution models. 3DSR encourages 3D consistency across views via the use of an explicit 3D... read more 
Computer Vision and Pattern Recognition

Improving Crash Data Quality with Large Language Models: Evidence from Secondary Crash Narratives in Kentucky

arXiv Aug 6, 2025
This study evaluates advanced natural language processing (NLP) techniques to enhance crash data quality by mining crash narratives, using secondary crash identification in Kentucky as a case study. Drawing from 16,656 manually reviewed narratives ... read more 
Computation and Language Artificial Intelligence Information Retrieval Machine Learning

Are Today's LLMs Ready to Explain Well-Being Concepts?

arXiv Aug 6, 2025
Well-being encompasses mental, physical, and social dimensions essential to personal growth and informed life decisions. As individuals increasingly consult Large Language Models (LLMs) to understand well-being, a key challenge emerges: Can LLMs ge... read more 
Computation and Language Artificial Intelligence Human-Computer Interaction

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

NPJ digital medicine Aug 6, 2025
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This devi... read more 

Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

Discover oncology Aug 6, 2025
BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of hepatocellular carcinoma (HCC) and has gained increasing attention. However, there is currently no effective model for predicting the risk of HCC-PM i... read more 

Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement

arXiv Aug 6, 2025
Underwater image enhancement (UIE) techniques aim to improve visual quality of images captured in aquatic environments by addressing degradation issues caused by light absorption and scattering effects, including color distortion, blurring, and low... read more 
Computer Vision and Pattern Recognition Image and Video Processing

WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification

arXiv Aug 6, 2025
Machine unlearning, the efficient deletion of the impact of specific data in a trained model, remains a challenging problem. Current machine unlearning approaches that focus primarily on data-centric or weight-based strategies frequently encounter ... read more 
Machine Learning

Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection

arXiv Aug 6, 2025
The Internet of Bio-Nano Things (IoBNT), envisioned as a revolutionary healthcare paradigm, shows promise for epidemic control. This paper explores the potential of using molecular communication (MC) to address the challenges in constructing IoBNT ... read more 
Networking and Internet Architecture

A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models

arXiv Aug 6, 2025
Graph-based Retrieval-Augmented Generation (GraphRAG) has recently emerged as a promising paradigm for enhancing large language models (LLMs) by converting raw text into structured knowledge graphs, improving both accuracy and explainability. Howev... read more 
Computation and Language 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
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