Artificial Intelligence Medical Compendium

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

Showing 45,441 to 45,450 of 224,055 articles

InterCoG: Towards Spatially Precise Image Editing with Interleaved Chain-of-Grounding Reasoning

arXiv Mar 2, 2026
Emerging unified editing models have demonstrated strong capabilities in general object editing tasks. However, it remains a significant challenge to perform fine-grained editing in complex multi-entity scenes, particularly those where targets are no... read more 
Computer Vision and Pattern Recognition

Dehallu3D: Hallucination-Mitigated 3D Generation from Single Image via Cyclic View Consistency Refinement

arXiv Mar 2, 2026
Large 3D reconstruction models have revolutionized the 3D content generation field, enabling broad applications in virtual reality and gaming. Just like other large models, large 3D reconstruction models suffer from hallucinations as well, introducin... read more 
Computer Vision and Pattern Recognition

Sparse View Distractor-Free Gaussian Splatting

arXiv Mar 2, 2026
3D Gaussian Splatting (3DGS) enables efficient training and fast novel view synthesis in static environments. To address challenges posed by transient objects, distractor-free 3DGS methods have emerged and shown promising results when dense image cap... read more 
Computer Vision and Pattern Recognition

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

arXiv Mar 2, 2026
Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but most operate as end-to-end black boxes, diverging from clinicians' evidence-based, staged workflows and hindering clinical accountability. Complementaril... read more 
Artificial Intelligence cs.LG

Coarse-to-Fine Monocular Re-Localization in OpenStreetMap via Semantic Alignment

arXiv Mar 2, 2026
Monocular re-localization plays a crucial role in enabling intelligent agents to achieve human-like perception. However, traditional methods rely on dense maps, which face scalability limitations and privacy risks. OpenStreetMap (OSM), as a lightweig... read more 
Computer Vision and Pattern Recognition

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration

arXiv Mar 2, 2026
Diffusion models have become the dominant tool for high-fidelity image and video generation, yet are critically bottlenecked by their inference speed due to the numerous iterative passes of Diffusion Transformers. To reduce the exhaustive compute, re... read more 
Computer Vision and Pattern Recognition cs.LG

QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image

arXiv Mar 2, 2026
Recent methods for pathology report generation from whole-slide image (WSI) are capable of producing slide-level diagnostic descriptions but fail to ground fine-grained statements in localized visual evidence. Furthermore, they lack control over whic... read more 
Computer Vision and Pattern Recognition

A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs

arXiv Mar 2, 2026
Early detection of lung cancer in chest radiographs (CXRs) is crucial for improving patient outcomes, yet nodule detection remains challenging due to their subtle appearance and variability in radiological characteristics like size, texture, and boun... read more 
Computer Vision and Pattern Recognition

DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs

arXiv Mar 2, 2026
Deep learning-based automated diagnosis of lung cancer has emerged as a crucial advancement that enables healthcare professionals to detect and initiate treatment earlier. However, these models require extensive training datasets with diverse case-sp... read more 
Computer Vision and Pattern Recognition

MVR: Multi-view Video Reward Shaping for Reinforcement Learning

arXiv Mar 2, 2026
Reward design is of great importance for solving complex tasks with reinforcement learning. Recent studies have explored using image-text similarity produced by vision-language models (VLMs) to augment rewards of a task with visual feedback. A common... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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