Artificial Intelligence Medical Compendium

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

Showing 34,691 to 34,700 of 221,633 articles

Transfer Learning for Meta-analysis Under Covariate Shift

arXiv Apr 3, 2026
Randomized controlled trials often do not represent the populations where decisions are made, and covariate shift across studies can invalidate standard IPD meta-analysis and transport estimators. We propose a placebo-anchored transport framework tha... read more 
Machine Learning cs.LG

Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism

arXiv Apr 3, 2026
Deep learning based semantic communication has achieved significant progress in wireless image transmission, but most existing schemes rely on fixed models and thus lack robustness to diverse image contents and dynamic channel conditions. To improve ... read more 
Machine Learning

DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning

arXiv Apr 3, 2026
The rapid progress of generative AI has enabled increasingly realistic text-centric image forgeries, posing major challenges to document safety. Existing forensic methods mainly rely on visual cues and lack evidence-based reasoning to reveal subtle t... read more 
Computer Vision and Pattern Recognition cs.AI

XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis

arXiv Apr 3, 2026
Chest X-ray (CXR) interpretation is a fundamental yet complex clinical task that increasingly relies on artificial intelligence for automation. However, traditional monolithic models often lack the nuanced reasoning required for trustworthy diagnosis... read more 
Computer Vision and Pattern Recognition

A Rapid Instrument Exchange System for Humanoid Robots in Minimally Invasive Surgery

arXiv Apr 3, 2026
Humanoid robot technologies have demonstrated immense potential for minimally invasive surgery (MIS). Unlike dedicated multi-arm surgical platforms, the inherent dual-arm configuration of humanoid robots necessitates an efficient instrument exchange ... read more 
Robotics cs.CV eess.SY

V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

arXiv Apr 3, 2026
Multimodal large language models (MLLMs) have shown strong potential for autonomous driving, yet existing benchmarks remain largely ego-centric and therefore cannot systematically assess model performance in infrastructure-centric and cooperative dri... read more 
Robotics cs.AI cs.CV

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

arXiv Apr 3, 2026
End-to-end autonomous driving models based on Vision-Language-Action (VLA) architectures have shown promising results by learning driving policies through behavior cloning on expert demonstrations. However, imitation learning inherently limits the mo... read more 
Computer Vision and Pattern Recognition

Task-Guided Prompting for Unified Remote Sensing Image Restoration

arXiv Apr 3, 2026
Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing methods focus on single degradation types within homogeneous data, res... read more 
Image and Video Processing cs.CV

Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks

arXiv Apr 3, 2026
LLMs have demonstrated remarkable capabilities in linguistic reasoning and are increasingly adept at vision-language tasks. The integration of image tokens into transformers has enabled direct visual input and output, advancing research from image-to... read more 
Computer Vision and Pattern Recognition

Differentiable Stroke Planning with Dual Parameterization for Efficient and High-Fidelity Painting Creation

arXiv Apr 3, 2026
In stroke-based rendering, search methods often get trapped in local minima due to discrete stroke placement, while differentiable optimizers lack structural awareness and produce unstructured layouts. To bridge this gap, we propose a dual representa... read more 
Computer Vision and Pattern Recognition
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