Artificial Intelligence Medical Compendium

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

Showing 3,511 to 3,520 of 168,679 articles

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

Unconditional energy dissipation of Strang splitting for the matrix-valued Allen-Cahn equation

arXiv Aug 6, 2025
The energy dissipation property of the Strang splitting method was first demonstrated for the matrix-valued Allen-Cahn (MAC) equation under restrictive time-step constraints [J. Comput. Phys. 454, 110985, 2022]. In this work, we eliminate this limi... read more 
Numerical Analysis Numerical Analysis 65M12 65M15

I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation

arXiv Aug 6, 2025
Multimodal recommender systems (MRS) improve recommendation performance by integrating diverse semantic information from multiple modalities. However, the assumption of the availability of all modalities rarely holds in practice due to missing imag... read more 
Information Retrieval Multimedia H.3.3; H.5.1

Privacy Risk Predictions Based on Fundamental Understanding of Personal Data and an Evolving Threat Landscape

arXiv Aug 6, 2025
It is difficult for individuals and organizations to protect personal information without a fundamental understanding of relative privacy risks. By analyzing over 5,000 empirical identity theft and fraud cases, this research identifies which types ... read more 
Machine Learning Cryptography and Security Social and Information Networks

Bridging Brains and Models: MoE-Based Functional Lesions for Simulating and Rehabilitating Aphasia

arXiv Aug 6, 2025
The striking alignment between large language models (LLMs) and human brain activity positions them as powerful models of healthy cognition. This parallel raises a fundamental question: if LLMs can model the intact brain, can we lesion them to simu... read more 
Neurons and Cognition

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 
Male Adolescent Longitudinal Studies Female Young Adult Adult Social Behavior Friends Social Networking Magnetic Resonance Imaging Brain Mapping Consumer Behavior Humans Brain

Adaptive context biasing in transformer-based ASR systems.

Scientific reports Aug 6, 2025
With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more 

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

GRIT: Graph-Regularized Logit Refinement for Zero-shot Cell Type Annotation

arXiv Aug 6, 2025
Cell type annotation is a fundamental step in the analysis of single-cell RNA sequencing (scRNA-seq) data. In practice, human experts often rely on the structure revealed by principal component analysis (PCA) followed by $k$-nearest neighbor ($k$-N... read more 
Genomics Machine Learning

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements

arXiv Aug 6, 2025
The present work proposes a Deep Learning architecture for the prediction of various consumer choice behaviors from time series of raw gaze or eye fixations on images of the decision environment, for which currently no foundational models are avail... read more 
Neural and Evolutionary Computing
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