Artificial Intelligence Medical Compendium

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

Showing 42,291 to 42,300 of 223,853 articles

TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

arXiv Mar 12, 2026
We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessment evaluating how modern real-time object detection architectures and ordinal-aware supervision strategies perform under realistic post-disaster condi... read more 
Computer Vision and Pattern Recognition

CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time

arXiv Mar 12, 2026
Counterfactual estimation over time is important in various applications, such as personalized medicine. However, time-dependent confounding bias in observational data still poses a significant challenge in achieving accurate and efficient estimation... read more 
Machine Learning

WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing

arXiv Mar 12, 2026
Instruction-based image editing aims to modify specific content within existing images according to user-provided instructions while preserving non-target regions. Beyond traditional object- and style-centric manipulation, text-centric image editing ... read more 
Computer Vision and Pattern Recognition

Survival Meets Classification: A Novel Framework for Early Risk Prediction Models of Chronic Diseases

arXiv Mar 12, 2026
Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR data, we have developed early disease risk prediction models for five common chronic diseases: diabetes, hypertension, CKD, COPD, and chronic ischemic... read more 
Machine Learning cs.AI

SemiTooth: a Generalizable Semi-supervised Framework for Multi-Source Tooth Segmentation

arXiv Mar 12, 2026
With the rapid advancement of artificial intelligence, intelligent dentistry for clinical diagnosis and treatment has become increasingly promising. As the primary clinical dentistry task, tooth structure segmentation for Cone-Beam Computed Tomograph... read more 
Computer Vision and Pattern Recognition

Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild

arXiv Mar 12, 2026
Semantic correspondence is essential for handling diverse in-the-wild images lacking explicit correspondence annotations. While recent 2D foundation models offer powerful features, adapting them for unsupervised learning via nearest-neighbor pseudo-l... read more 
Computer Vision and Pattern Recognition cs.LG

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

arXiv Mar 12, 2026
While specialized Medical Vision-Language Models (VLMs) have achieved remarkable success in interpreting 2D and 3D medical modalities, their deployment for 3D volumetric data remains constrained by significant computational inefficiencies. Current ar... read more 
Computer Vision and Pattern Recognition cs.AI

Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography

arXiv Mar 12, 2026
Positron emission tomography (PET) is a key nuclear medicine imaging modality that visualizes radiotracer distributions to quantify in vivo physiological and metabolic processes, playing an irreplaceable role in disease management. Despite its clinic... read more 
Computer Vision and Pattern Recognition

MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation

arXiv Mar 12, 2026
Recent unified 3D generation models have made remarkable progress in producing high-quality 3D assets from a single image. Notably, layout-aware approaches such as SAM3D can reconstruct multiple objects while preserving their spatial arrangement, ope... read more 
Computer Vision and Pattern Recognition

IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis

arXiv Mar 12, 2026
Depression is a severe mental disorder, and reliable identification plays a critical role in early intervention and treatment. Multimodal depression detection aims to improve diagnostic performance by jointly modeling complementary information from m... read more 
Computer Vision and Pattern Recognition cs.AI
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