Artificial Intelligence Medical Compendium

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

Showing 56,861 to 56,870 of 227,153 articles

Segment Any Events with Language

arXiv Jan 30, 2026
Scene understanding with free-form language has been widely explored within diverse modalities such as images, point clouds, and LiDAR. However, related studies on event sensors are scarce or narrowly centered on semantic-level understanding. We intr... read more 
Computer Vision and Pattern Recognition

Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging

arXiv Jan 30, 2026
Diffusion models have been increasingly used as strong generative priors for solving inverse problems such as super-resolution in medical imaging. However, these approaches typically utilize a diffusion prior trained at a single scale, ignoring the h... read more 
Image and Video Processing cs.CV cs.LG

Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training

arXiv Jan 30, 2026
Despite recent Multimodal Large Language Models (MLLMs)' linguistic prowess in medical diagnosis, we find even state-of-the-art MLLMs suffer from a critical perceptual deficit: geometric blindness. This failure to ground outputs in objective geometri... read more 
Computer Vision and Pattern Recognition cs.AI

Region-Normalized DPO for Medical Image Segmentation under Noisy Judges

arXiv Jan 30, 2026
While dense pixel-wise annotations remain the gold standard for medical image segmentation, they are costly to obtain and limit scalability. In contrast, many deployed systems already produce inexpensive automatic quality-control (QC) signals like mo... read more 
Computer Vision and Pattern Recognition

Solving Inverse Problems with Flow-based Models via Model Predictive Control

arXiv Jan 30, 2026
Flow-based generative models provide strong unconditional priors for inverse problems, but guiding their dynamics for conditional generation remains challenging. Recent work casts training-free conditional generation in flow models as an optimal cont... read more 
Image and Video Processing cs.LG

PaperBanana: Automating Academic Illustration for AI Scientists

arXiv Jan 30, 2026
Despite rapid advances in autonomous AI scientists powered by language models, generating publication-ready illustrations remains a labor-intensive bottleneck in the research workflow. To lift this burden, we introduce PaperBanana, an agentic framewo... read more 
Computation and Language cs.CV

Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

arXiv Jan 30, 2026
Astronomical imaging remains noise-limited under practical observing constraints, while standard calibration pipelines mainly remove structured artifacts and leave stochastic noise largely unresolved. Learning-based denoising is promising, yet progre... read more 
Instrumentation and Methods for Astrophysics cs.CV cs.LG

User Prompting Strategies and Prompt Enhancement Methods for Open-Set Object Detection in XR Environments

arXiv Jan 30, 2026
Open-set object detection (OSOD) localizes objects while identifying and rejecting unknown classes at inference. While recent OSOD models perform well on benchmarks, their behavior under realistic user prompting remains underexplored. In interactive ... read more 
Computer Vision and Pattern Recognition

ZK-HybridFL: Zero-Knowledge Proof-Enhanced Hybrid Ledger for Federated Learning

arXiv Jan 29, 2026
Federated learning (FL) enables collaborative model training while preserving data privacy, yet both centralized and decentralized approaches face challenges in scalability, security, and update validation. We propose ZK-HybridFL, a secure decentrali... read more 
Machine Learning cs.CR cs.DC

AgentScore: Autoformulation of Deployable Clinical Scoring Systems

arXiv Jan 29, 2026
Modern clinical practice relies on evidence-based guidelines implemented as compact scoring systems composed of a small number of interpretable decision rules. While machine-learning models achieve strong performance, many fail to translate into rout... read more 
Machine Learning cs.MA
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