Artificial Intelligence Medical Compendium

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

Showing 34,731 to 34,740 of 221,633 articles

EffiMiniVLM: A Compact Dual-Encoder Regression Framework

arXiv Apr 3, 2026
Predicting product quality from multimodal item information is critical in cold-start scenarios, where user interaction history is unavailable and predictions must rely on images and textual metadata. However, existing vision-language models typicall... read more 
Computer Vision and Pattern Recognition

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection

arXiv Apr 3, 2026
Object detection in unmanned aerial vehicle (UAV) images remains a highly challenging task, primarily caused by the complexity of background noise and the imbalance of target scales. Traditional methods easily struggle to effectively separate objects... read more 
Computer Vision and Pattern Recognition cs.MM

Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model

arXiv Apr 3, 2026
Robotic manipulation requires understanding both the 3D spatial structure of the environment and its temporal evolution, yet most existing policies overlook one or both. They typically rely on 2D visual observations and backbones pretrained on static... read more 
Robotics cs.CV

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis

arXiv Apr 3, 2026
Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for health tracking and early detection of cardiovascular diseases. While 1-D arterial models offer an attractive compromise between computational efficien... read more 
Machine Learning physics.comp-ph

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

arXiv Apr 3, 2026
This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects, such as runtime, paramete... read more 
Computer Vision and Pattern Recognition

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction

arXiv Apr 3, 2026
Three-dimensional medical image data and computer-aided decision making, particularly using deep learning, are becoming increasingly important in the medical field. To aid in these developments we introduce PR3DICTR: Platform for Research in 3D Image... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security

arXiv Apr 3, 2026
The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it also introduces serious cybersecurity and patient safety concerns as at... read more 
Cryptography and Security cs.LG

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis

arXiv Apr 3, 2026
Non-contrast chest CTs offer a rich opportunity for both conventional pulmonary and opportunistic extra-pulmonary screening. While Multi-Task Learning (MTL) can unify these diverse tasks, standard hard-parameter sharing approaches are often suboptima... read more 
Image and Video Processing cs.CV

VOSR: A Vision-Only Generative Model for Image Super-Resolution

arXiv Apr 3, 2026
Most of the recent generative image super-resolution (SR) methods rely on adapting large text-to-image (T2I) diffusion models pretrained on web-scale text-image data. While effective, this paradigm starts from a generic T2I generator, despite that SR... read more 
Computer Vision and Pattern Recognition

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning

arXiv Apr 3, 2026
Recent vision-language models (VLMs) typically rely on a single vision encoder trained with contrastive image-text objectives, such as CLIP-style pretraining. While contrastive encoders are effective for cross-modal alignment and retrieval, self-supe... read more 
Computer Vision and Pattern Recognition
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