Artificial Intelligence Medical Compendium

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

Showing 3,201 to 3,210 of 168,416 articles

NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding

arXiv Aug 6, 2025
Computer-aided medical image analysis is crucial for disease diagnosis and treatment planning, yet limited annotated datasets restrict medical-specific model development. While vision-language models (VLMs) like CLIP offer strong generalization cap... read more 
Computer Vision and Pattern Recognition

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports Aug 6, 2025
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t... read more 
Humans Algorithms Lung Neoplasms Gene Expression Regulation, Neoplastic Adenocarcinoma of Lung X-Box Binding Protein 1 Protein Interaction Maps Ferroptosis Gene Regulatory Networks Tumor Microenvironment Gene Expression Profiling

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

Journal of the American Society of Nephrology : JASN Aug 6, 2025
BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal medical management and improve outcomes. We aimed to validate the Klinrisk machine learning model for prediction of CKD progression in large US commerci... read more 

PIS3R: Very Large Parallax Image Stitching via Deep 3D Reconstruction

arXiv Aug 6, 2025
Image stitching aim to align two images taken from different viewpoints into one seamless, wider image. However, when the 3D scene contains depth variations and the camera baseline is significant, noticeable parallax occurs-meaning the relative pos... read more 
Computer Vision and Pattern Recognition

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

arXiv Aug 6, 2025
Modeling the evolution of high-dimensional systems from limited snapshot observations at irregular time points poses a significant challenge in quantitative biology and related fields. Traditional approaches often rely on dimensionality reduction t... read more 
Machine Learning Neural and Evolutionary Computing I.2 I.2.6

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning

arXiv Aug 6, 2025
Federated Learning (FL) enables collaborative model training on decentralized data but remains vulnerable to gradient leakage attacks that can reconstruct sensitive user information. Existing defense mechanisms, such as differential privacy (DP) an... read more 
Distributed, Parallel, and Cluster Computing Artificial Intelligence Cryptography and Security

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

arXiv Aug 6, 2025
The diagnosis of medical diseases faces challenges such as the misdiagnosis of small lesions. Deep learning, particularly multimodal approaches, has shown great potential in the field of medical disease diagnosis. However, the differences in dimens... read more 
Computer Vision and Pattern Recognition

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al... read more 
Image Processing, Computer-Assisted Biodiversity Animals Deep Learning Butterflies Austria Moths Machine Learning

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

Beyond the Conveyor Belt: The Influence of Robotization on Work Characteristics. A Qualitative Study in Manufacturing Companies.

The Spanish journal of psychology Aug 6, 2025
The numbers of robots in organizations grow at an increasing rate. However, very little is known about how robotization (i.e., the implementation of robots at work) affects the work characteristics of the jobs it impacts. This qualitative study focus... read more 
Employment Qualitative Research Humans Adult Male Spain Female Robotics Middle Aged Manufacturing Industry
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