Artificial Intelligence Medical Compendium

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

Showing 24,851 to 24,860 of 217,472 articles

Deep-testing: the case of dependence detection

arXiv Apr 29, 2026
Deep learning methods have proved highly effective for classification and image recognition problems. In this paper, we ask whether this success can be transferred to hypothesis testing: if a neural network can distinguish, for example, an image of a... read more 
Machine Learning cs.LG stat.ME

AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision

arXiv Apr 29, 2026
Despite the rapid progress in data-driven 3D vision, aerial geometric 3D vision remains a formidable challenge due to the severe scarcity of large-scale, high-fidelity training data. Existing benchmarks, predominantly biased toward ground-level or ob... read more 
Computer Vision and Pattern Recognition

FunFace: Feature Utility and Norm Estimation for Face Recognition

arXiv Apr 29, 2026
Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in a variety of settings. To achieve this, state-of-t... read more 
Computer Vision and Pattern Recognition

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading

arXiv Apr 29, 2026
Multimodal large language models (MLLMs) have achieved impressive progress on general multimodal tasks, yet they remain brittle on dial-based measurement reading. In this paper, we study this problem through controlled benchmarks and feature-space pr... read more 
Computer Vision and Pattern Recognition

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection

arXiv Apr 29, 2026
The bottleneck in learning-based industrial defect detection is often limited not by model capacity, but by the scarcity of labeled defect data: defects are rare, annotations are expensive, and collecting balanced training sets is slow. We present an... read more 
Computer Vision and Pattern Recognition cs.AI

Unsupervised learning of multiscale switching dynamical system models from multimodal neural data.

Journal of neural engineering Apr 29, 2026
Objective. Neural population activity often exhibits regime-dependent non-stationarity in the form of switching dynamics. Learning accurate switching dynamical system models can reveal how behavior is encoded in neural activity. Existing switching ap... read more 

Improving Nurses' Management of Uterine Tachysystole.

MCN. The American journal of maternal child nursing Apr 29, 2026
PURPOSE: To evaluate the incidence of uterine tachysystole and determine if nurses' management of tachysystole using an artificial intelligence-enabled clinical decision support (cEFM-aiCDS) alert system alone and in combination with an education mod... read more 

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering.

European heart journal. Digital health Apr 29, 2026
AIMS: Electrocardiogram (ECG) recordings are fundamental for diagnosing cardiac conditions. Recent advances in automatic ECG analysis have been dominated by deep learning, particularly convolutional neural networks (CNNs). CNNs excel in processing hi... read more 

Systems of Care in Cardiogenic Shock: Team-Based Management, Shock Networks, and Post Discharge Pathways.

Interventional cardiology clinics Apr 29, 2026
Cardiogenic shock (CS) remains the leading cause of mortality in modern cardiac intensive care unit, most often precipitated by acute or chronically decompensated heart failure or acute myocardial infarction. Despite technologic advances, timely reco... read more 

Hybrid learning/numerical framework for fast and robust electric field simulation in irreversible electroporation.

Computer methods and programs in biomedicine Apr 29, 2026
OBJECTIVE: Irreversible electroporation (IRE) represents a promising non-thermal ablation modality for the treatment of deep-seated tumors. However, its clinical efficacy is critically dependent on the accurate, patient-specific distribution of the e... read more 
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