Artificial Intelligence Medical Compendium

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

Showing 30,541 to 30,550 of 220,100 articles

VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation

arXiv Apr 15, 2026
Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and remote collaboration. This task is exceptionally difficult due to sev... read more 
Computer Vision and Pattern Recognition

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning

arXiv Apr 15, 2026
Recent reinforcement learning (RL) approaches have advanced radiology report generation (RRG), yet two core limitations persist: (1) report-level rewards offer limited evidence-grounded guidance for clinical faithfulness; and (2) current methods lack... read more 
Machine Learning stat.ME

Design Space Exploration of Hybrid Quantum Neural Networks for Chronic Kidney Disease

arXiv Apr 15, 2026
Hybrid Quantum Neural Networks (HQNNs) have recently emerged as a promising paradigm for near-term quantum machine learning. However, their practical performance strongly depends on design choices such as classical-to-quantum data encoding, quantum c... read more 
Machine Learning cs.AI

What Are We Really Measuring? Rethinking Dataset Bias in Web-Scale Natural Image Collections via Unsupervised Semantic Clustering

arXiv Apr 15, 2026
In computer vision, a prevailing method for quantifying dataset bias is to train a model to distinguish between datasets. High classification accuracy is then interpreted as evidence of meaningful semantic differences. This approach assumes that stan... read more 
Computer Vision and Pattern Recognition

From Pixels to Nucleotides: End-to-End Token-Based Video Compression for DNA Storage

arXiv Apr 15, 2026
DNA-based storage has emerged as a promising approach to the global data crisis, offering molecular-scale density and millennial-scale stability at low maintenance cost. Over the past decade, substantial progress has been made in storing text, images... read more 
Computer Vision and Pattern Recognition cs.ET

VIGILant: an automatic classification pipeline for glitches in the Virgo detector

arXiv Apr 15, 2026
Glitches frequently contaminate data in gravitational-wave detectors, complicating the observation and analysis of astrophysical signals. This work introduces VIGILant, an automatic pipeline for classification and visualization of glitches in the Vir... read more 
General Relativity and Quantum Cosmology astro-ph.IM cs.LG

Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data

arXiv Apr 15, 2026
3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes according to prompts, while also preserving local invariance so that ... read more 
Computer Vision and Pattern Recognition cs.AI

Med-CAM: Minimal Evidence for Explaining Medical Decision Making

arXiv Apr 15, 2026
Reliable and interpretable decision-making is essential in medical imaging, where diagnostic outcomes directly influence patient care. Despite advances in deep learning, most medical AI systems operate as opaque black boxes, providing little insight ... read more 
Computer Vision and Pattern Recognition cs.AI

SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs

arXiv Apr 15, 2026
Multimodal Large Language Models (MLLMs) exhibit strong reasoning and world knowledge, yet adapting them for retrieval remains challenging. Existing approaches rely on invasive parameter updates, such as full fine-tuning and LoRA, which may disrupt t... read more 
Computer Vision and Pattern Recognition

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests

arXiv Apr 15, 2026
We address the challenge of synthetic-to-real transfer in forestry perception where real data have only coarse Tree labels while synthetic data provide fine-grained trunk/crown annotations. We introduce MGTD, a mixed-granularity dataset with 53k synt... read more 
Computer Vision and Pattern Recognition
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