Artificial Intelligence Medical Compendium

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

Showing 11,821 to 11,830 of 210,187 articles

TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction

arXiv May 25, 2026
Sparse-view 3D reconstruction is increasingly addressed with feed-forward splatting networks that predict explicit primitives directly from images. Yet most existing methods remain centered on Gaussian primitives and expose surfaces only indirectly: ... read more 
Computer Vision and Pattern Recognition

When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

arXiv May 25, 2026
Many practical anomalies are not merely rare inputs, but violations of semantic constraints: objects co-occur in structured ways, actions imply preconditions, and events satisfy temporal or relational regularities. We study anomaly detection in this ... read more 
Machine Learning

Co-folding model guided by structural proteomics

arXiv May 25, 2026
Protein structure generative models excel at predicting single protein static structures from sequence, but routinely fail to capture the correct conformational state of protein complexes, critical for protein design and induced proximity modalities ... read more 
Machine Learning cs.AI q-bio.BM

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

arXiv May 25, 2026
Clinical time-series learning is routinely constrained by small, heterogeneous cohorts and protocol drift, while its downstream use spans both classification (e.g., pathology diagnosis) and regression (e.g., temporal forecasting). These constraints m... read more 
Machine Learning

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction

arXiv May 25, 2026
Multi-view 3D reconstruction has achieved remarkable progress with the advent of feed-forward 3D reconstruction models. However, these models are typically trained and evaluated under ideal, degradation-free imaging conditions, whereas real-world obs... read more 
Computer Vision and Pattern Recognition

RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation

arXiv May 25, 2026
Success in generative modeling across language, image, and video demonstrates that large, well-curated datasets are the key driver for building capable models. 3D Human motion, however, has lagged behind, constrained by an unsatisfying choice between... read more 
Computer Vision and Pattern Recognition

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV

arXiv May 25, 2026
Audio-visual generation is rapidly advancing from short clips to minute-long content, while existing evaluation protocols remain largely confined to short-form settings. Existing benchmarks primarily focus on 5--10 second text-conditioned generation ... read more 
Computer Vision and Pattern Recognition cs.MM cs.SD

Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals?

arXiv May 25, 2026
Early prediction of respiratory failure is critical for timely clinical intervention in intensive care units. Existing electronic health record (EHR)-based models can continuously monitor physiologic deterioration, but they may not fully capture pulm... read more 
Image and Video Processing cs.AI cs.LG

Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation

arXiv May 25, 2026
Semantic segmentation in complex environments such as urban driving scenes remains challenging under adverse lighting conditions, where RGB images alone provide insufficient information. RGB-Thermal fusion leverages the complementary strengths of vis... read more 
Computer Vision and Pattern Recognition

VesselSim: learning 3D blood vessel segmentation without expert annotations

arXiv May 25, 2026
Blood vessel segmentation is a core task in medical image analysis for the care of vascular diseases and surgical planning, yet the challenges of providing expert vascular annotations pose a major obstacle for the progress of related deep learning te... read more 
Computer Vision and Pattern Recognition cs.AI
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