Artificial Intelligence Medical Compendium

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

Showing 50,521 to 50,530 of 225,062 articles

Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision

arXiv Feb 15, 2026
Modern computer-use agents (CUA) must perceive a screen as a structured state, what elements are visible, where they are, and what text they contain, before they can reliably ground instructions and act. Yet, most available grounding datasets provide... read more 
Computer Vision and Pattern Recognition

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking

arXiv Feb 15, 2026
In multi-intent intent-based networks, a single fault can trigger co-drift where multiple intents exhibit symptomatic KPI degradation, creating ambiguity about the true root-cause intent. We present MILD, a proactive framework that reformulates inten... read more 
Networking and Internet Architecture cs.LG

DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices

arXiv Feb 15, 2026
Recent Mixture-of-Experts (MoE)-based large language models (LLMs) such as Qwen-MoE and DeepSeek-MoE are transforming generative AI in natural language processing. However, these models require vast and diverse training data. Federated learning (FL) ... read more 
Machine Learning cs.AI cs.MA

In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes

arXiv Feb 15, 2026
Transformer architectures have revolutionized machine learning across a wide range of domains, from natural language processing to scientific computing. However, their growing deployment in high-stakes applications, such as computer vision, natural l... read more 
Machine Learning

metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

The Journal of chemical physics Feb 14, 2026
Incorporation of machine learning (ML) techniques into atomic-scale modeling has proven to be an extremely effective strategy to improve the accuracy and reduce the computational cost of simulations. It also entails conceptual and practical challenge... read more 

Comparing dimensionality reduction methods for local structural identification in colloidal systems.

The Journal of chemical physics Feb 14, 2026
Quantifying local structures in self-assembled systems is a central challenge in soft matter and materials science. When no a priori knowledge of the relevant structures is available, traditional order parameters often fall short. Unsupervised machin... read more 

Deep-learning based adaptive fusion of CC and MLO views for improved mammographic cancer diagnosis.

MethodsX Feb 14, 2026
Breast cancer remains the most prevalent malignancy among women worldwide. The timely detection of this cancer type is critical for improving survival outcomes. Despite advancements, mammogram classification using deep learning strategies still faces... read more 

Discrimination between Mycobacterium tuberculosis and Mycobacterium bovis using Fourier transform infrared spectroscopy.

One health (Amsterdam, Netherlands) Feb 14, 2026
Zoonotic tuberculosis (TB) caused by Mycobacterium bovis (Mbo) is a neglected disease that hinders efforts to eradicate human tuberculosis. Developing a rapid, high-throughput diagnostic test to distinguish Mbo from Mycobacterium tuberculosis (Mtb) i... read more 

CoSuBio: Confidence and success dataset based on multimodal biosignals.

Data in brief Feb 14, 2026
Understanding how self-confidence fluctuates during cognitive activity and how these fluctuations relate to objective physiological signals remains a challenge in psychological and computational research. Existing multimodal datasets predominantly fo... read more 

Peripheral immune landscape in pancreatic ductal adenocarcinoma reveals expansion of effector states with disease progression.

iScience Feb 14, 2026
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to the limited sensitivity and specificity of current modalities. To explore alternative strategies, we developed a high-dimensional immune profiling frame... read more 
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