Artificial Intelligence Medical Compendium

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

Showing 3,531 to 3,540 of 168,679 articles

A Foundational Multi-Modal Model for Few-Shot Learning

arXiv Aug 6, 2025
Few-shot learning (FSL) is a machine learning paradigm that aims to generalize models from a small number of labeled examples, typically fewer than 10 per class. FSL is particularly crucial in biomedical, environmental, materials, and mechanical sc... read more 
Machine Learning

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

arXiv Aug 6, 2025
Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities. However, concerns persist regarding the reliability of these benchmarks, which often lack clinical fidelity, robust... read more 
Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multimedia

StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering

arXiv Aug 6, 2025
Generating stylized large language model (LLM) responses via representation editing is a promising way for fine-grained output control. However, there exists an inherent trade-off: imposing a distinctive style often degrades truthfulness. Existing ... read more 
Computation and Language

InfoQ: Mixed-Precision Quantization via Global Information Flow

arXiv Aug 6, 2025
Mixed-precision quantization (MPQ) is crucial for deploying deep neural networks on resource-constrained devices, but finding the optimal bit-width for each layer represents a complex combinatorial optimization problem. Current state-of-the-art met... read more 
Machine Learning

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research Aug 6, 2025
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more 

Real-World Adversarial Defense against Patch Attacks based on Diffusion Model.

IEEE transactions on pattern analysis and machine intelligence Aug 6, 2025
Adversarial patches present significant challenges to the robustness of deep learning models, making the development of effective defenses become critical for real-world applications. This paper introduces DIFFender, a novel DIFfusion-based DeFender ... read more 

Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis

arXiv Aug 6, 2025
Masked autoencoders (MAEs) have emerged as a powerful approach for pre-training on unlabelled data, capable of learning robust and informative feature representations. This is particularly advantageous in diffused lung disease research, where annot... read more 
Image and Video Processing Computer Vision and Pattern Recognition

VisualTrans: A Benchmark for Real-World Visual Transformation Reasoning

arXiv Aug 6, 2025
Visual transformation reasoning (VTR) is a vital cognitive capability that empowers intelligent agents to understand dynamic scenes, model causal relationships, and predict future states, and thereby guiding actions and laying the foundation for ad... read more 
Computer Vision and Pattern Recognition

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation

arXiv Aug 6, 2025
In the semantic segmentation of remote sensing images, acquiring complete ground objects is critical for achieving precise analysis. However, this task is severely hindered by two major challenges: high intra-class variance and high inter-class sim... read more 
Computer Vision and Pattern Recognition Information Retrieval

Compressing Large Language Models with PCA Without Performance Loss

arXiv Aug 6, 2025
We demonstrate that Principal Component Analysis (PCA), when applied in a structured manner, either to polar-transformed images or segment-wise to token sequences, enables extreme compression of neural models without sacrificing performance. Across... read more 
Computational Engineering, Finance, and Science Artificial Intelligence
Popular Topics
Recent Journals