Artificial Intelligence Medical Compendium

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

Showing 19,391 to 19,400 of 214,800 articles

DriftXpress: Faster Drifting Models via Projected RKHS Fields

arXiv May 12, 2026
Drifting Models have emerged as a new paradigm for one-step generative modeling, achieving strong image quality without iterative inference. The premise is to replace the iterative denoising process in diffusion models with a single evaluation of a g... read more 
Machine Learning cs.AI

Overtrained, Not Misaligned

arXiv May 12, 2026
Emergent misalignment (EM), where fine-tuning on a narrow task (like insecure code) causes broad misalignment across unrelated domains, was first demonstrated by Betley et al. (2025). We conduct the most comprehensive EM study to date, reproducing th... read more 
Machine Learning cs.AI

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning

arXiv May 12, 2026
Fine-tuning pre-trained robot policies with reinforcement learning (RL) often inherits the bottlenecks introduced by pre-training with behavioral cloning (BC), which produces narrow action distributions that lack the coverage necessary for downstream... read more 
Robotics cs.AI cs.LG

UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs

arXiv May 12, 2026
Vision-Language Models (VLMs) increasingly operate on ultra-high-resolution (UHR) Earth observation imagery, yet they remain vulnerable to a severe scale mismatch between large-scale scene context and micro-scale targets. We refer to this empirical g... read more 
Computer Vision and Pattern Recognition

Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study

arXiv May 12, 2026
Specialized foundation models are beginning to emerge in various medical subdomains, but pretraining methodologies and parametric scaling with the size of the pretraining dataset are rarely assessed systematically and in a like-for-like manner. This ... read more 
Signal Processing cs.AI cs.LG

H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows

arXiv May 12, 2026
Metal artifacts in computed tomography (CT) severely degrade image quality, compromising diagnostic accuracy and radiotherapy planning, especially in cancer patients with high-density implants. We propose H3D-MarNet, a two-stage framework for artifac... read more 
Computer Vision and Pattern Recognition

From Image Hashing to Scene Change Detection

arXiv May 12, 2026
Image hashing provides compact representations for efficient storage and retrieval but is inherently limited to global comparison and cannot reason about where changes occur. This limitation prevents hashing from being directly applicable to scene ch... read more 
Computer Vision and Pattern Recognition

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models

arXiv May 12, 2026
Supervised Finetuning (SFT) has become one of the primary methods for adapting a large language model (LLM) with extensive pre-trained knowledge to domain-specific, instruction-following tasks. SFT datasets, composed of instruction-response pairs, of... read more 
Cryptography and Security cs.CL cs.LG

Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm

arXiv May 12, 2026
Humans often specify and create through visual artifacts: typography sheets, sketches, reference images, and annotated scenes. Yet modern visual generators still ask users to serialize this intent into text, a bottleneck that compresses signals like ... read more 
Computer Vision and Pattern Recognition

Hypernetworks for Dynamic Feature Selection

arXiv May 12, 2026
Dynamic feature selection (DFS) is a machine learning framework in which features are acquired sequentially for individual samples under budget constraints. The exponential growth in the number of possible feature acquisition paths forces a DFS model... read more 
Machine Learning
Popular Topics
Recent Journals