Artificial Intelligence Medical Compendium

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

Showing 271 to 280 of 212,780 articles

HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement

arXiv Jul 20, 2026
Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most approaches focusing on inter-subject personalization still struggle to st... read more 
Computer Vision and Pattern Recognition

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

arXiv Jul 20, 2026
Foundation models have emerged as a driving force in computational pathology, with the potential to transform cancer diagnosis, prognosis, and treatment selection by learning transferable representations from large-scale histopathology data. A growin... read more 
Computer Vision and Pattern Recognition cs.AI

Causal Discovery on Irregular Time Series

arXiv Jul 20, 2026
Causal discovery methods have shown strong performance in temporal systems, but they typically rely on regular and discrete lag structures, limiting their applicability to regularly sampled data. However, many real-world tasks require dealing with ir... read more 
Machine Learning stat.ME

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry

arXiv Jul 20, 2026
In line with the prevailing direction of vision research, we explore the integration of both generation and editing capabilities for video and image modalities within a single model. Current approaches to collecting video editing data typically depen... read more 
Computer Vision and Pattern Recognition

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs

arXiv Jul 20, 2026
Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pixel-level image tampering detection increasingly important yet challenging under cross-model and out-of-distribution shifts. This wor... read more 
Computer Vision and Pattern Recognition cs.AI

The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric

arXiv Jul 20, 2026
Human visual similarity judgments are context-dependent. For example, two images may be similar in shape but distinct in color. Existing perceptual similarity metrics, however, collapse these nuances into a single scalar value, offering no mechanism ... read more 
Computer Vision and Pattern Recognition cs.LG

From Pixel to Prognosis: Convolutional and GLCM Feature Fusion for Automated Four-Class Cataract Severity Classification

arXiv Jul 20, 2026
Objective: To develop a low-cost automated cataract severity classification system operating on standard consumer-grade colour photographs of the eye, without specialised ophthalmic hardware. Methods: A hybrid framework was designed that fuses deep f... read more 
Computer Vision and Pattern Recognition cs.ET

Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions

arXiv Jul 20, 2026
Wireless physical neural networks (WPNNs) embed neural computation directly into analog hardware, offering lower energy consumption and latency than conventional digital implementations. In this paper, we propose a deep WPNN in which nonlinear activa... read more 
Machine Learning cs.AI cs.IT eess.SP

Using binary silver labels in electronic health records-based computable phenotyping algorithms

arXiv Jul 20, 2026
Gold-standard phenotype labels are often unavailable at scale in electronic health record (EHR) studies because they require manual chart review. Weakly supervised phenotyping methods instead use silver-standard labels, such as diagnosis-code counts,... read more 
Methodology cs.LG stat.ML

Intelligence from Learnable Novelty

arXiv Jul 20, 2026
Intelligence appears under different names in different fields: as data compression in statistics and machine learning, as universal computation in dynamical systems, and as adaptive behavior in agents. Each field carries its own objective, and the t... read more 
Machine Learning cs.AI nlin.AO
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