Artificial Intelligence Medical Compendium

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

Showing 2,931 to 2,940 of 168,134 articles

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

arXiv Aug 6, 2025
In this paper, we propose new randomized algorithms for estimating the two-to-infinity and one-to-two norms in a matrix-free setting, using only matrix-vector multiplications. Our methods are based on appropriate modifications of Hutchinson's diago... read more 
Machine Learning Numerical Analysis Numerical Analysis Machine Learning 65F35

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

Impact of climate change scenario on sea level rise and future coastal flooding in major coastal cities of India.

Scientific reports Aug 6, 2025
This study evaluates the impacts of projected sea level rise (SLR) on coastal flooding across major Indian cities: Mumbai, Kolkata, Chennai, Visakhapatnam, Surat, Kochi, Thiruvananthapuram, and Mangaluru. Machine learning models, including Long Short... read more 

Generative Artificial Intelligence in Primary Care: Qualitative Study of UK General Practitioners' Views.

Journal of medical Internet research Aug 6, 2025
BACKGROUND: The potential for generative artificial intelligence (GenAI) to assist with clinical tasks is the subject of ongoing debate within biomedical informatics and related fields. read more 
Male Middle Aged Qualitative Research Artificial Intelligence Female Adult Generative Artificial Intelligence United Kingdom General Practitioners Surveys and Questionnaires Humans Attitude of Health Personnel Primary Health Care

SVC 2025: the First Multimodal Deception Detection Challenge

arXiv Aug 6, 2025
Deception detection is a critical task in real-world applications such as security screening, fraud prevention, and credibility assessment. While deep learning methods have shown promise in surpassing human-level performance, their effectiveness of... read more 
Computer Vision and Pattern Recognition

DS$^2$Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation

arXiv Aug 6, 2025
Deep Supervision Networks exhibit significant efficacy for the medical imaging community. Nevertheless, existing work merely supervises either the coarse-grained semantic features or fine-grained detailed features in isolation, which compromises th... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms.

Journal of medical Internet research Aug 6, 2025
BACKGROUND: In the era of internet-based governance, online public appeals-particularly those related to health care-have emerged as a crucial channel through which citizens articulate their needs and concerns. read more 
China Big Data Internet Humans East Asian People Government

Deeper Inside Deep ViT

arXiv Aug 6, 2025
There have been attempts to create large-scale structures in vision models similar to LLM, such as ViT-22B. While this research has provided numerous analyses and insights, our understanding of its practical utility remains incomplete. Therefore, w... read more 
Computer Vision and Pattern Recognition

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

arXiv Aug 6, 2025
Interpolating missing data in k-space is essential for accelerating imaging. However, existing methods, including convolutional neural network-based deep learning, primarily exploit local predictability while overlooking the inherent global depende... read more 
Computer Vision and Pattern Recognition Optimization and Control

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding

arXiv Aug 6, 2025
In this work, we address the problem of grounding abnormalities in medical images, where the goal is to localize clinical findings based on textual descriptions. While generalist Vision-Language Models (VLMs) excel in natural grounding tasks, they ... read more 
Computer Vision and Pattern Recognition
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