Artificial Intelligence Medical Compendium

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

Showing 59,341 to 59,350 of 227,876 articles

LuBan: Constructing Hierarchical Graphs for CAD Sketch Generation Via Transformer Intermediate Outputs.

IEEE transactions on visualization and computer graphics Jan 21, 2026
Computer-Aided Design (CAD) sketches, composed of geometric primitives and constraints, are fundamental to CAD models and play a critical role in industrial design and manufacturing. Leveraging artificial intelligence to convert hand-drawn sketches a... read more 

Active Adversarial Noise Suppression for Image Forgery Localization.

IEEE transactions on pattern analysis and machine intelligence Jan 21, 2026
Recent advances in deep learning have significantly propelled the development of image forgery localization. However, existing models remain highly vulnerable to adversarial attacks: imperceptible noise added to forged images can severely mislead the... read more 

Network intrusion detection using a hybrid graph-based convolutional network and transformer architecture.

PloS one Jan 21, 2026
Cloud computing continues to expand rapidly due to its ability to provide internet-hosted services, including servers, databases, and storage. However, this growth increases exposure to sophisticated intrusion attacks that can evade traditional secur... read more 

DFENet: A diverse feature extraction neural network for improving automatic modulation classification accuracy in wireless communication systems.

PloS one Jan 21, 2026
In this paper, a convolutional neural network (CNN) model, named DFENet, is composed of multi-branch blocks for diverse feature extraction (DFE) to improve the accuracy of automatic modulation classification (AMC) in wireless communication systems. T... read more 

Contrastive learning enhanced retrieval-augmented few-shot framework for multi-label patent classification.

PloS one Jan 21, 2026
The rapid expansion of patent databases poses increasing challenges for multi-label patent classification, particularly for inventions spanning multiple technological domains. Conventional approaches are hindered by high annotation costs and limited ... read more 

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.

PLoS computational biology Jan 21, 2026
Recent advances in digital pathology have enabled comprehensive analyses of Whole-Slide Images (WSIs) from tissue samples, leveraging high-resolution microscopy and computational capabilities. Despite this progress, available tools for automatic cell... read more 

The role of fibration symmetries in geometric deep learning.

Proceedings of the National Academy of Sciences of the United States of America Jan 21, 2026
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific inductive biases like Graph Neural Networks (GNNs). However, the current for... read more 

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Science translational medicine Jan 21, 2026
Neonatal prematurity leads to considerable morbidity and mortality, partly because of acquired conditions such as bronchopulmonary dysplasia (BPD), intraventricular hemorrhage (IVH), necrotizing enterocolitis (NEC), and retinopathy of prematurity (RO... read more 

Architectural swarms for responsive façades and creative expression.

Science robotics Jan 21, 2026
Living architectures, such as beehives and ant bridges, adapt continuously to their environments through self-organization of swarming agents. In contrast, most human-made architecture remains static, unable to respond to changing climates or occupan... read more 

Piezoelectric surface acoustic wave memristor neural network.

Science advances Jan 21, 2026
Processing wireless RF signals using analog electromagnetic (EM) wave-based neural networks enables energy efficiency and parallelism by integrating sensing, memory, and computation, avoiding analog-to-digital conversions (ADCs) and the von-Neumann b... read more 
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