Artificial Intelligence Medical Compendium

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

Showing 25,921 to 25,930 of 217,905 articles

Edit Where You Mean: Region-Aware Adapter Injection for Mask-Free Local Image Editing

arXiv Apr 26, 2026
Large diffusion transformers (DiTs) follow global editing instructions well but consistently leak local edits into unrelated regions, because joint-attention architectures offer no explicit channel telling the network where to apply the edit. We intr... read more 
Computer Vision and Pattern Recognition

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents

arXiv Apr 26, 2026
Language-model agents are increasingly used as persistent coworkers that assist users across multiple working days. During such workflows, the surrounding environment may change independently of the agent: new emails arrive, calendar entries shift, k... read more 
Computer Vision and Pattern Recognition cs.SE

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment

arXiv Apr 26, 2026
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision-Language Models (VLMs), their deployment in clini... read more 
Artificial Intelligence cs.LG

A General Representation-Based Approach to Multi-Source Domain Adaptation

arXiv Apr 26, 2026
A central problem in unsupervised domain adaptation is determining what to transfer from labeled source domains to an unlabeled target domain. To handle high-dimensional observations (e.g., images), a line of approaches use deep learning to learn lat... read more 
Machine Learning stat.ML

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology

arXiv Apr 26, 2026
Accurate whole-cell and nuclear segmentation is essential for precision pathology and spatial omics, yet routine hematoxylin and eosin (H&E) staining provides limited cytoplasmic contrast, restricting analyses to nuclei. Multiplex immunofluorescence ... read more 
Computer Vision and Pattern Recognition

Causal Representation Learning from General Environments under Nonparametric Mixing

arXiv Apr 26, 2026
Causal representation learning aims to recover the latent causal variables and their causal relations, typically represented by directed acyclic graphs (DAGs), from low-level observations such as image pixels. A prevailing line of research exploits m... read more 
Machine Learning stat.ML

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction

arXiv Apr 26, 2026
Multimodal Large Language Models (MLLMs) have achieved remarkable performance in Visually Rich Document Understanding (VRDU) tasks, but their capabilities are mainly evaluated on pristine, well-structured document images. We consider content restorat... read more 
Computer Vision and Pattern Recognition cs.CL

Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing

arXiv Apr 26, 2026
Urban environments contain many imaging sensors built for specific purposes, including ATM, body-worn, CCTV, and dashboard cameras. Under the opportunistic sensing paradigm, these sensors can be repurposed for secondary inference tasks such as licens... read more 
Computer Vision and Pattern Recognition cs.AI

One Size Fits None: Heuristic Collapse in LLM Investment Advice

arXiv Apr 26, 2026
Large language models are increasingly deployed as advisors in high-stakes domains -- answering medical questions, interpreting legal documents, recommending financial products -- where good advice requires integrating a user's full context rather th... read more 
Computation and Language cs.LG

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

arXiv Apr 26, 2026
Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-aware representation learning framework and instantiate it for first-tr... read more 
Computer Vision and Pattern Recognition cs.AI
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