Artificial Intelligence Medical Compendium

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

Showing 49,891 to 49,900 of 224,814 articles

Latent Regularization in Generative Test Input Generation

arXiv Feb 17, 2026
This study investigates the impact of regularization of latent spaces through truncation on the quality of generated test inputs for deep learning classifiers. We evaluate this effect using style-based GANs, a state-of-the-art generative approach, an... read more 
Software Engineering cs.LG

Intracoronary Optical Coherence Tomography Image Processing and Vessel Classification Using Machine Learning

arXiv Feb 17, 2026
Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures. This paper proposes a fully automated pipeline f... read more 
Computer Vision and Pattern Recognition cs.AI

An Industrial Dataset for Scene Acquisitions and Functional Schematics Alignment

arXiv Feb 17, 2026
Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities that lack native digital models. Current manual alignment using images and LiDAR data does not scale due ... read more 
Computer Vision and Pattern Recognition

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems

arXiv Feb 17, 2026
Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMSE), implicitly weighting evaluation by regime prevalence. In systems with a dominant attractor -- homeostatic physiology, nominal industrial operation... read more 
Machine Learning

Continuous-Time Piecewise-Linear Recurrent Neural Networks

arXiv Feb 17, 2026
In dynamical systems reconstruction (DSR) we aim to recover the dynamical system (DS) underlying observed time series. Specifically, we aim to learn a generative surrogate model which approximates the underlying, data-generating DS, and recreates its... read more 
Machine Learning

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation

arXiv Feb 17, 2026
Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documentation burden, improve reporting consistency, and accelerate clinical workflows. However, their clinical adoption remains limited by the lack of interpr... read more 
Computer Vision and Pattern Recognition

A Novel Public Dataset for Strawberry (Fragaria x ananassa) Ripeness Detection and Comparative Evaluation of YOLO-Based Models

arXiv Feb 17, 2026
The strawberry (Fragaria x ananassa), known worldwide for its economic value and nutritional richness, is a widely cultivated fruit. Determining the correct ripeness level during the harvest period is crucial for both preventing losses for producers ... read more 
Computer Vision and Pattern Recognition

Bayesian Optimization for Design Parameters of 3D Image Data Analysis

arXiv Feb 17, 2026
Deep learning-based segmentation and classification are crucial to large-scale biomedical imaging, particularly for 3D data, where manual analysis is impractical. Although many methods exist, selecting suitable models and tuning parameters remains a ... read more 
Computer Vision and Pattern Recognition cs.AI

CAMEL: An ECG Language Model for Forecasting Cardiac Events

arXiv Feb 17, 2026
Electrocardiograms (ECG) are electrical recordings of the heart that are critical for diagnosing cardiovascular conditions. ECG language models (ELMs) have recently emerged as a promising framework for ECG classification accompanied by report generat... read more 
Machine Learning q-bio.QM

Criteria-first, semantics-later: reproducible structure discovery in image-based sciences

arXiv Feb 17, 2026
Across the natural and life sciences, images have become a primary measurement modality, yet the dominant analytic paradigm remains semantics-first. Structure is recovered by predicting or enforcing domain-specific labels. This paradigm fails systema... read more 
Computer Vision and Pattern Recognition cs.AI
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