Artificial Intelligence Medical Compendium

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

Showing 60,581 to 60,590 of 228,072 articles

Sociotechnical Challenges of Machine Learning in Healthcare and Social Welfare

arXiv Jan 16, 2026
Sociotechnical challenges of machine learning in healthcare and social welfare are mismatches between how a machine learning tool functions and the structure of care practices. While prior research has documented many such issues, existing accounts o... read more 
Human-Computer Interaction

PubMed-OCR: PMC Open Access OCR Annotations

arXiv Jan 16, 2026
PubMed-OCR is an OCR-centric corpus of scientific articles derived from PubMed Central Open Access PDFs. Each page image is annotated with Google Cloud Vision and released in a compact JSON schema with word-, line-, and paragraph-level bounding boxes... read more 
Computer Vision and Pattern Recognition cs.CL cs.DL cs.LG

When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models

arXiv Jan 16, 2026
Diffusion models now generate high-quality, diverse samples, with an increasing focus on more powerful models. Although ensembling is a well-known way to improve supervised models, its application to unconditional score-based diffusion models remains... read more 
Machine Learning cs.CV math.ST stat.ME stat.ML

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

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

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

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

MATEX: Multi-scale Attention and Text-guided Explainability of Medical Vision-Language Models

arXiv Jan 16, 2026
We introduce MATEX (Multi-scale Attention and Text-guided Explainability), a novel framework that advances interpretability in medical vision-language models by incorporating anatomically informed spatial reasoning. MATEX synergistically combines mul... read more 
Computer Vision and Pattern Recognition cs.AI

A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning

arXiv Jan 16, 2026
Most pseudo-label selection strategies in semi-supervised learning rely on fixed confidence thresholds, implicitly assuming that prediction confidence reliably indicates correctness. In practice, deep networks are often overconfident: high-confidence... read more 
Machine Learning cs.AI

Pigment Network Detection and Classification in Dermoscopic Images Using Directional Imaging Algorithms and Convolutional Neural Networks

arXiv Jan 16, 2026
Early diagnosis of melanoma, which can save thousands of lives, relies heavily on the analysis of dermoscopic images. One crucial diagnostic criterion is the identification of unusual pigment network (PN). However, distinguishing between regular (typ... read more 
Image and Video Processing cs.AI cs.CV
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