Artificial Intelligence Medical Compendium

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

Showing 54,581 to 54,590 of 226,183 articles

Multi-Objective Optimization for Synthetic-to-Real Style Transfer

arXiv Feb 3, 2026
Semantic segmentation networks require large amounts of pixel-level annotated data, which are costly to obtain for real-world images. Computer graphics engines can generate synthetic images alongside their ground-truth annotations. However, models tr... read more 
Computer Vision and Pattern Recognition

CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets

arXiv Feb 3, 2026
Generating synthetic tabular data under severe class imbalance is essential for domains where rare but high-impact events drive decision-making. However, most generative models either overlook minority groups or fail to produce samples that are usefu... read more 
Machine Learning

MM-SCALE: Grounded Multimodal Moral Reasoning via Scalar Judgment and Listwise Alignment

arXiv Feb 3, 2026
Vision-Language Models (VLMs) continue to struggle to make morally salient judgments in multimodal and socially ambiguous contexts. Prior works typically rely on binary or pairwise supervision, which often fail to capture the continuous and pluralist... read more 
Computer Vision and Pattern Recognition cs.HC

Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images

arXiv Feb 3, 2026
Lane detection is a crucial perception task for all levels of automated vehicles (AVs) and Advanced Driver Assistance Systems, particularly in mixed-traffic environments where AVs must interact with human-driven vehicles (HDVs) and challenging traffi... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators

arXiv Feb 3, 2026
Generative models trained using self-supervision of tokenized electronic health record (EHR) timelines show promise for clinical outcome prediction. This is typically done using Monte Carlo simulation for future patient trajectories. However, existin... read more 
Machine Learning cs.LG

Edge-Optimized Vision-Language Models for Underground Infrastructure Assessment

arXiv Feb 3, 2026
Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical to public safety and urban sustainability. Although robotic platforms equipped with visual sensors can efficiently detect structural deficiencies, the... read more 
Computer Vision and Pattern Recognition

See-through: Single-image Layer Decomposition for Anime Characters

arXiv Feb 3, 2026
We introduce a framework that automates the transformation of static anime illustrations into manipulatable 2.5D models. Current professional workflows require tedious manual segmentation and the artistic ``hallucination'' of occluded regions to enab... read more 
Computer Vision and Pattern Recognition cs.GR

Machine-learning classification of postural sway in young adults during colored noisy vestibular stimulation.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 3, 2026
Stochastic resonance suggests that adding an optimal level of noise can enhance a weak signal, making it detectable. This report presents a secondary analysis of data from Gavriilidou et al. (2025) examining how noisy galvanic vestibular stimulation ... read more 

Treating those not ready to quit smoking: Doing harm while trying to help?

Addictive behaviors Feb 3, 2026
INTRODUCTION: Motivation-phase smoking treatment can increase treatment reach and abstinence in persons unmotivated to quit smoking. However, Motivation-phase treatment is modestly and inconsistently effective. This research aims to identify factors ... read more 

Clinical-radiological machine learning model for non-invasive diagnosis and stratification of peripheral artery disease: a multicenter study.

International journal of medical informatics Feb 3, 2026
BACKGROUND AND OBJECTIVE: Peripheral artery disease (PAD) is an atherosclerotic disorder prevalent in the elderly that leads to peripheral function decline and body composition changes. Current diagnostic approaches lack sensitivity for early PAD det... read more 
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