Artificial Intelligence Medical Compendium

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

Showing 60,711 to 60,720 of 228,072 articles

MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization

arXiv Jan 16, 2026
Achieving robust generalization under distribution shift remains a central challenge in conditional generative modeling, as existing conditional flow-based methods often struggle to extrapolate beyond the training conditions. We introduce MixFlow, a ... read more 
Machine Learning cs.CV eess.IV

Cross-Domain Object Detection Using Unsupervised Image Translation

arXiv Jan 16, 2026
Unsupervised domain adaptation for object detection addresses the adaption of detectors trained in a source domain to work accurately in an unseen target domain. Recently, methods approaching the alignment of the intermediate features proven to be pr... read more 
Computer Vision and Pattern Recognition

Sum Estimation via Vector Similarity Search

arXiv Jan 16, 2026
Semantic embeddings to represent objects such as image, text and audio are widely used in machine learning and have spurred the development of vector similarity search methods for retrieving semantically related objects. In this work, we study the si... read more 
Data Structures and Algorithms

Early Linguistic Pattern of Anxiety from Social Media Using Interpretable Linguistic Features: A Multi-Faceted Validation Study with Author-Disjoint Evaluation

arXiv Jan 16, 2026
Anxiety affects hundreds of millions of individuals globally, yet large-scale screening remains limited. Social media language provides an opportunity for scalable detection, but current models often lack interpretability, keyword-robustness validati... read more 
Computation and Language cs.AI cs.LG

SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models

arXiv Jan 16, 2026
Visual Foundation Models (VFMs), such as DINO and CLIP, excel in semantic understanding of images but exhibit limited spatial reasoning capabilities, which limits their applicability to embodied systems. As a result, recent work incorporates some 3D ... read more 
Computer Vision and Pattern Recognition cs.LG

SemAlign: Language Guided Semi-supervised Domain Generalization

arXiv Jan 16, 2026
Semi-supervised Domain Generalization (SSDG) addresses the challenge of generalizing to unseen target domains with limited labeled data. Existing SSDG methods highlight the importance of achieving high pseudo-labeling (PL) accuracy and preventing mod... read more 
Computer Vision and Pattern Recognition

UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation

arXiv Jan 16, 2026
Despite recent progress, medical foundation models still struggle to unify visual understanding and generation, as these tasks have inherently conflicting goals: semantic abstraction versus pixel-level reconstruction. Existing approaches, typically b... read more 
Computer Vision and Pattern Recognition

ShapeR: Robust Conditional 3D Shape Generation from Casual Captures

arXiv Jan 16, 2026
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such conditions are rarely met in real-world scenarios. We present ShapeR, a novel approach for c... read more 
Computer Vision and Pattern Recognition cs.LG

CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation

arXiv Jan 16, 2026
In the generative AI era, where even critical medical tasks are increasingly automated, radiology report generation (RRG) continues to rely on suboptimal metrics for quality assessment. Developing domain-specific metrics has therefore been an active ... read more 
Computation and Language cs.CV

Generative Scenario Rollouts for End-to-End Autonomous Driving

arXiv Jan 16, 2026
Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end autonomous driving systems. However, current works mostly rely on imitation learning from sparse trajectory annotations and under-utilize their potent... read more 
Computer Vision and Pattern Recognition
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