Artificial Intelligence Medical Compendium

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

Showing 52,961 to 52,970 of 225,341 articles

Theoretical and applied research on spatio-temporal graph attention networks for single-trial P300 detection.

Journal of neural engineering Feb 6, 2026
Objective.Accurate detection of single-trial P300 ERPs (event-related potentials) is crucial for developing high-performance non-invasive BCIs (brain-computer interfaces). However, this task remains challenging because of the low (signal-to-noise rat... read more 

Self-induced large pitch artificial muscles with giant stroke for soft robotic applications.

Bioinspiration & biomimetics Feb 6, 2026
Achieving large initial coil pitches and contractile strokes in twisted and coiled polymer artificial muscles often requires complex and multi-step fabrication processes. We present a self-induced large-pitch (SLiP) method for producing polymer muscl... read more 

Changes in Phasic Heart Rate Variability Predict Clinical Outcomes Following Emotion Regulation Therapy for Generalized Anxiety Disorder and Comorbid Depression.

Behavior therapy Feb 6, 2026
Generalized anxiety disorder (GAD) and major depressive disorder (MDD) frequently co-occur and are marked by greater chronicity, severity, and poorer treatment response. Perseverative negative thinking (e.g., worry, rumination) is a transdiagnostic m... read more 

Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization

arXiv Feb 6, 2026
Adaptive methods like Adam have become the $\textit{de facto}$ standard for large-scale vector and Euclidean optimization due to their coordinate-wise adaptation with a second-order nature. More recently, matrix-based spectral optimizers like Muon (J... read more 
Machine Learning

A Cycle-Consistent Graph Surrogate for Full-Cycle Left Ventricular Myocardial Biomechanics

arXiv Feb 6, 2026
Image-based patient-specific simulation of left ventricular (LV) mechanics is valuable for understanding cardiac function and supporting clinical intervention planning, but conventional finite-element analysis (FEA) is computationally intensive. Curr... read more 
Machine Learning

Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers

arXiv Feb 6, 2026
Multimodal Diffusion Transformers (MMDiTs) for text-to-image generation maintain separate text and image branches, with bidirectional information flow between text tokens and visual latents throughout denoising. In this setting, we observe a prompt f... read more 
Computer Vision and Pattern Recognition

Reliable Mislabel Detection for Video Capsule Endoscopy Data

arXiv Feb 6, 2026
The classification performance of deep neural networks relies strongly on access to large, accurately annotated datasets. In medical imaging, however, obtaining such datasets is particularly challenging since annotations must be provided by specializ... read more 
Computer Vision and Pattern Recognition cs.LG

From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows

arXiv Feb 6, 2026
Learning unsupervised representations that are both semantically meaningful and stable across runs remains a central challenge in modern representation learning. We introduce entropy-ordered flows (EOFlows), a normalizing-flow framework that orders l... read more 
Machine Learning

CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation

arXiv Feb 6, 2026
Cinematic video production requires control over scene-subject composition and camera movement, but live-action shooting remains costly due to the need for constructing physical sets. To address this, we introduce the task of cinematic video generati... read more 
Computer Vision and Pattern Recognition

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images

arXiv Feb 6, 2026
Multimodal large language models (MLLMs) have rapidly advanced, yet their adoption in medicine remains limited by gaps in domain coverage, modality alignment, and grounded reasoning. In this work, we introduce MedMO, a medical foundation model built ... read more 
Computer Vision and Pattern Recognition
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