Artificial Intelligence Medical Compendium

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

Showing 18,391 to 18,400 of 214,278 articles

Beyond data and technology: the need for new thinking to enable the era of precision prevention.

BMC medicine May 14, 2026
BACKGROUND: Global flagship initiatives increasingly advocate for proactive health maintenance to alleviate the growing burden on reactive, disease-focused healthcare systems. Precision prevention is conceived as the targeted modulation of causal pat... read more 

Toward precision prevention: machine learning-identified risk and protective factors for distinct bullying victimization types among Chinese adolescents.

BMC public health May 14, 2026
BACKGROUND: Bullying victimization among Chinese adolescents manifests in distinct types (verbal, physical, relational, cyberbullying) with unique adverse outcomes and influencing factors, yet predictive models for specific types remain scarce. Colla... read more 

Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.

Archives of public health = Archives belges de sante publique May 14, 2026
BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a considerable workforce and infrastructure. Furthermore, sampling and testing delays can hinder timely ... read more 

Available guidance for ethical challenges in learning health systems: an integrative literature review.

Health research policy and systems May 14, 2026
BACKGROUND: Learning health systems (LHSs) aim to integrate continuous learning into routine care, yet their development raises persistent ethical challenges. Questions remain about when and how informed consent should be obtained, how ethical oversi... read more 

PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptors.

Journal of cheminformatics May 14, 2026
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to predict a ligand's binding pose and affinity. Consequently, the performance of SBVS depends on the prote... read more 

Do Composed Image Retrieval Benchmarks Require Multimodal Composition?

arXiv May 14, 2026
Composed Image Retrieval (CIR) is a multimodal retrieval task where a query consists of a reference image and a textual modification, and the goal is to retrieve a target image satisfying both. In principle, strong performance on CIR benchmarks is as... read more 
Computer Vision and Pattern Recognition cs.CL

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation

arXiv May 14, 2026
In recent years, computer vision has witnessed remarkable progress, fueled by the development of innovative architectures such as Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), diffusion-based architectures, Vision Tran... read more 
Computer Vision and Pattern Recognition cs.CR cs.SI

The Velocity Deficit: Initial Energy Injection for Flow Matching

arXiv May 14, 2026
While Flow Matching theoretically guarantees constant-velocity trajectories, we identify a critical breakdown in high-dimensional practice: the Velocity Deficit. We show that the MSE objective systematically underestimates velocity magnitude, causing... read more 
Computer Vision and Pattern Recognition

HDRFace: Rethinking Face Restoration with High-Dimensional Representation

arXiv May 14, 2026
Face restoration under complex degradations still remains an ill-posed inverse problem due to severe information loss. Although diffusion models benefit from strong generative priors, most methods still condition only on low-quality inputs, making it... read more 
Computer Vision and Pattern Recognition

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis

arXiv May 14, 2026
Humans naturally communicate through abstract concepts like "mood". However, current image editing benchmarks focus primarily on explicit, literal commands, leaving abstract instructions largely underexplored. In this work, we first formalize the def... read more 
Computer Vision and Pattern Recognition
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