Artificial Intelligence Medical Compendium

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

Showing 38,261 to 38,270 of 223,469 articles

Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification

arXiv Mar 26, 2026
Hard coatings play a critical role in industry, with ceramic materials offering outstanding hardness and thermal stability for applications that demand superior mechanical performance. However, deploying artificial intelligence (AI) for surface rough... read more 
Computer Vision and Pattern Recognition cond-mat.mtrl-sci

Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis

arXiv Mar 26, 2026
Endoscopic video analysis is essential for early gastrointestinal screening but remains hindered by limited high-quality annotations. While self-supervised video pre-training shows promise, existing methods developed for natural videos prioritize den... read more 
Computer Vision and Pattern Recognition

A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation

arXiv Mar 26, 2026
Large language models can generate scientific simulation code, but the generated code silently fails on most non-textbook problems. We show that classical mathematical validation -- well-posedness, convergence, and error certification -- can be fully... read more 
Software Engineering cs.LG

End-to-end Feature Alignment: A Simple CNN with Intrinsic Class Attribution

arXiv Mar 26, 2026
We present Feature-Align CNN (FA-CNN), a prototype CNN architecture with intrinsic class attribution through end-to-end feature alignment. Our intuition is that the use of unordered operations such as Linear and Conv2D layers cause unnecessary shuffl... read more 
Computer Vision and Pattern Recognition

LEMON: a foundation model for nuclear morphology in Computational Pathology

arXiv Mar 26, 2026
Computational pathology relies on effective representation learning to support cancer research and precision medicine. Although self-supervised learning has driven major progress at the patch and whole-slide image levels, representation learning at t... read more 
Computer Vision and Pattern Recognition

Geo$^\textbf{2}$: Geometry-Guided Cross-view Geo-Localization and Image Synthesis

arXiv Mar 26, 2026
Cross-view geo-spatial learning consists of two important tasks: Cross-View Geo-Localization (CVGL) and Cross-View Image Synthesis (CVIS), both of which rely on establishing geometric correspondences between ground and aerial views. Recent Geometric ... read more 
Computer Vision and Pattern Recognition

Classification of narcolepsy type 1 using machine learning on Stanford Cataplexy Questionnaire responses and HLA-DQB1∗06:02.

Sleep medicine Mar 26, 2026
BACKGROUND: Narcolepsy type 1 (NT1) is characterized by sleepiness, disturbed sleep, and cataplexy-episodes of sudden muscle tone loss triggered by emotions. Accurate diagnosis in large-scale studies remains challenging due to NT1's low prevalence an... read more 

Time-reversal-based ultrasonic non-destructive evaluation using convolutional neural networks.

Ultrasonics Mar 26, 2026
In ultrasonic non-destructive evaluation (NDE) of composite materials or complex-shaped mechanical structures, it is difficult to detect structural defects due to the complex scattering of the excitation signal at the boundary. This study proposes a ... read more 

Quantification of microcracks by physics-guided neural network-assisted nonlinear ultrasonic technique.

Ultrasonics Mar 26, 2026
Quantifying microcracks whose dimensions are considerably smaller than the ultrasonic wavelength remains a formidable challenge in nondestructive testing, as linear ultrasonic techniques are constrained by the ratio of wavelength to defect size, whil... read more 

Predicting radiology no-shows with machine learning: Methodological pitfalls and practical considerations.

Current problems in diagnostic radiology Mar 26, 2026
OBJECTIVE: Predictive machine learning (ML) models may help reduce radiology appointment no-shows and late cancellations, which disrupt care, reduce operational efficiency, and cause financial losses. However, few studies address the practical challe... read more 
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