Artificial Intelligence Medical Compendium

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

Showing 29,581 to 29,590 of 219,931 articles

Machine learning-driven screening of characteristic flavor markers: Investigating the impact of pulsed electric fields on the flavor profile of virgin olive oil.

Food research international (Ottawa, Ont.) Apr 19, 2026
Pulsed electric field (PEF) technology enhances the extraction efficiency of virgin olive oil (VOO), yet its systematic impact on the dynamic evolution of aroma profiles throughout processing remains unclear. This study investigated the effect of PEF... read more 

SOHO State of the Art Updates and Next Questions | Management of Primary Central Nervous System Lymphoma.

Clinical lymphoma, myeloma & leukemia Apr 19, 2026
Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma. Recent insights into the molecular characteristics of neoplastic B-cells are opening the era of precision diagnostics with the developme... read more 

Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

arXiv Apr 19, 2026
Being one of the oldest and most basic problems in image processing, image denoising has seen a resurgence spurred by rapid advances in deep learning. Yet, most modern denoising architectures make limited use of the technical knowledge acquired resea... read more 
Image and Video Processing cs.CV

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation

arXiv Apr 19, 2026
Visual prompting has emerged as a powerful method for adapting pre-trained models to new domains without updating model parameters. However, existing prompting methods typically optimize a single prompt per domain and apply it uniformly to all inputs... read more 
Computer Vision and Pattern Recognition

UniMesh: Unifying 3D Mesh Understanding and Generation

arXiv Apr 19, 2026
Recent advances in 3D vision have led to specialized models for either 3D understanding (e.g., shape classification, segmentation, reconstruction) or 3D generation (e.g., synthesis, completion, and editing). However, these tasks are often tackled in ... read more 
Computer Vision and Pattern Recognition

Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection

arXiv Apr 19, 2026
Advanced deepfake technologies are blurring the lines between real and fake, presenting both revolutionary opportunities and alarming threats. While it unlocks novel applications in fields like entertainment and education, its malicious use has spark... read more 
Computer Vision and Pattern Recognition cs.LG

Coevolving Representations in Joint Image-Feature Diffusion

arXiv Apr 19, 2026
Joint image-feature generative modeling has recently emerged as an effective strategy for improving diffusion training by coupling low-level VAE latents with high-level semantic features extracted from pre-trained visual encoders. However, existing a... read more 
Computer Vision and Pattern Recognition

RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images Understanding

arXiv Apr 19, 2026
Reinforcement learning (RL) post-training substantially improves remote sensing vision-language models (RS-VLMs). However, when handling complex remote sensing imagery (RSI) requiring exhaustive visual scanning, models tend to rely on localized salie... read more 
Computer Vision and Pattern Recognition cs.AI

VIDS: A Verified Imaging Dataset Standard for Medical AI

arXiv Apr 19, 2026
Medical imaging AI development is fundamentally dependent on annotated datasets, yet no existing standard provides machine-enforceable validation across dataset structure, annotation provenance, quality documentation, and ML readiness within a single... read more 
Image and Video Processing cs.CV

UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models

arXiv Apr 19, 2026
Camera-controllable image editing aims to synthesize novel views of a given scene under varying camera poses while strictly preserving cross-view geometric consistency. However, existing methods typically rely on fragmented geometric guidance, such a... read more 
Computer Vision and Pattern Recognition
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