Artificial Intelligence Medical Compendium

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

Showing 50,921 to 50,930 of 225,062 articles

Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs

arXiv Feb 12, 2026
Machine learning systems that are "right for the wrong reasons" achieve high performance through shortcuts that collapse under distributional shift. We show this pathology has a precise causal origin: autoregressive training provides no gradient sign... read more 
Artificial Intelligence

ANML: Attribution-Native Machine Learning with Guaranteed Robustness

arXiv Feb 12, 2026
Frontier AI systems increasingly train on specialized expert data, from clinical records to proprietary research to curated datasets, yet current training pipelines treat all samples identically. A Nobel laureate's contribution receives the same weig... read more 
Machine Learning cs.AI

OMEGA-Avatar: One-shot Modeling of 360° Gaussian Avatars

arXiv Feb 12, 2026
Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1) the method should be feed-forward, 2) model a 360° full-head, and 3) should be animati... read more 
Graphics cs.AI cs.CV

Semantically Conditioned Diffusion Models for Cerebral DSA Synthesis

arXiv Feb 12, 2026
Digital subtraction angiography (DSA) plays a central role in the diagnosis and treatment of cerebrovascular disease, yet its invasive nature and high acquisition cost severely limit large-scale data collection and public data sharing. Therefore, we ... read more 
Computer Vision and Pattern Recognition cs.AI

U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction

arXiv Feb 12, 2026
Ill-posed imaging inverse problems remain challenging due to the ambiguity in mapping degraded observations to clean images. Diffusion-based generative priors have recently shown promise, but typically rely on computationally intensive iterative samp... read more 
Image and Video Processing cs.CV

LLM-Driven 3D Scene Generation of Agricultural Simulation Environments

arXiv Feb 12, 2026
Procedural generation techniques in 3D rendering engines have revolutionized the creation of complex environments, reducing reliance on manual design. Recent approaches using Large Language Models (LLMs) for 3D scene generation show promise but often... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

arXiv Feb 12, 2026
This article addresses the issue of estimating observation parameters (response and error parameters) in inverse problems. The focus is on cases where regularization is introduced in a Bayesian framework and the prior is modeled by a diffusion proces... read more 
Machine Learning cs.LG math.NA stat.AP

GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry

arXiv Feb 12, 2026
We propose GSO-SLAM, a real-time monocular dense SLAM system that leverages Gaussian scene representation. Unlike existing methods that couple tracking and mapping with a unified scene, incurring computational costs, or loosely integrate them with we... read more 
Computer Vision and Pattern Recognition cs.RO

Adapting Vision-Language Models for E-commerce Understanding at Scale

arXiv Feb 12, 2026
E-commerce product understanding demands by nature, strong multimodal comprehension from text, images, and structured attributes. General-purpose Vision-Language Models (VLMs) enable generalizable multimodal latent modelling, yet there is no document... read more 
Computer Vision and Pattern Recognition cs.AI

U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series

arXiv Feb 12, 2026
Probabilistic forecasting of irregularly sampled time series is crucial in domains such as healthcare and finance, yet it remains a formidable challenge. Existing Neural Controlled Differential Equation (Neural CDE) approaches, while effective at mod... read more 
Machine Learning
Popular Topics
Recent Journals