Artificial Intelligence Medical Compendium

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

Showing 41,481 to 41,490 of 223,853 articles

From Channel Bias to Feature Redundancy: Uncovering the "Less Is More" Principle in Few-Shot Learning.

IEEE transactions on pattern analysis and machine intelligence Mar 16, 2026
Deep neural networks often fail to adapt representations to novel tasks under distribution shifts, especially when only a few examples are available. This paper identifies a core obstacle behind this failure: Channel Bias, where networks develop a ri... read more 

WonderTex: Consistent-and-Seamless Texture Generation with Text-Guided Multi-View Image Diffusion Models.

IEEE transactions on visualization and computer graphics Mar 16, 2026
Text-guided texture generation has been rapidly developed with the proliferation of generative artificial intelligence for creating three-dimensional textured objects. However, existing text-guided texture generation methods often suffer from artifac... read more 

Learning Conditional Diffusion Transformer for Salient Object Detection in Optical Remote Sensing Images.

IEEE transactions on cybernetics Mar 16, 2026
In recent years, the task of detecting salient objects in optical remote-sensing images has posed a significant and formidable challenge. The existing approaches heavily rely on a limited amount of label saliency masks and usually utilize convolution... read more 

Structural and Kinetic Basis for the Rational Design of Next-Generation β-Lactamase Inhibitors.

Journal of medicinal chemistry Mar 16, 2026
The global spread of β-lactamase-mediated resistance poses a threat to β-lactam antibiotics. Boron-based β-lactamase inhibitors (BLIs) represent a promising class of reversible covalent inhibitors, yet the molecular basis of their recognition and dis... read more 

A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy.

Expert review of gastroenterology & hepatology Mar 16, 2026
INTRODUCTION: Digestive endoscopy is a critical modality for diagnosing and managing gastrointestinal diseases, yet it faces challenges including operator dependence, procedural complexity, and potential complications. Artificial intelligence (AI) ha... read more 

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

PloS one Mar 16, 2026
BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machine learning (ML) for detecting and predicting medical events. While medical experts are optimistic ab... read more 

Deep learning-driven image captioning: Progress through transformers and large language models.

PloS one Mar 16, 2026
This paper provides a novel deep learning model for captioning of images by using an advanced vision transformer architecture with a powerful LLM. Proposed models show a significant improvement over traditional CNN-RNN hybrids and existing transforme... read more 

Using AI to enhance healthcare resource management and allocation: A focus on the autism community in Alabama.

PloS one Mar 16, 2026
This study investigates the potential of artificial intelligence, particularly Natural Language Processing and large-scale language models, to improve resource management and service access for individuals with autism in Alabama. The research aims to... read more 

Unveiling the ecology and spatial dynamics of Trypanosoma cruzi, its DTUs and Triatoma vitticeps in the Atlantic Forest of south-eastern Espírito Santo State, Brazil.

PLoS neglected tropical diseases Mar 16, 2026
The transmission dynamics of Trypanosoma cruzi in natural environments exhibit considerable variation at the micro-locality scale. However, the specific biotic and abiotic factors driving this heterogeneity remain largely unidentified. The Atlantic F... read more 

An inflammatory biomarker panel for prediabetes classification using interpretable machine learning.

PloS one Mar 16, 2026
OBJECTIVE: Prediabetes is a silent condition that often goes undetected. However, timely interventions could prevent its progression to type 2 diabetes. Traditional glycemic markers, such as hemoglobin A1c (HbA1c), have limitations, creating a need f... read more 
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