Artificial Intelligence Medical Compendium

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

Showing 2,661 to 2,670 of 202,598 articles

Gender Artifacts from Art History to Text-to-Image Generation

arXiv Jun 4, 2026
Artistic styles are rooted in specific socio-historical contexts that encode social hierarchies, including distinct constructions of gender. Yet in AI research, style has long been treated as a surface-level visual property: a filter of color, brushs... read more 
Computer Vision and Pattern Recognition

Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization

arXiv Jun 4, 2026
Neurodegenerative disorders such as Alzheimer's disease exhibit highly organized patterns of regional brain vulnerability, yet the biological mechanisms underlying this spatial selectivity remain incompletely understood. Existing imaging-transcriptom... read more 
Neurons and Cognition cs.LG q-bio.QM

Geometry-Aware Dataset Condensation for Diffusion Model Training

arXiv Jun 4, 2026
Dataset condensation aims to construct compact datasets from real data via synthesis or selection. However, existing approaches are ill-suited for diffusion model training: synthetic data generation often yields low-fidelity samples unsuitable for au... read more 
Computer Vision and Pattern Recognition

Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs

arXiv Jun 4, 2026
Open-vocabulary object detection seeks to identify novel object categories that were not part of the training data. Many knowledge distillation-based approaches have shown promising performance by transferring knowledge from pre-trained vision-langua... read more 
Computer Vision and Pattern Recognition

Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models

arXiv Jun 4, 2026
Scientific illustrations are essential tools for communicating research findings, especially in natural science, where they visualize complex concepts and processes. As Text-to-Image (T2I) models become increasingly capable, researchers have started ... read more 
Computer Vision and Pattern Recognition

Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries

arXiv Jun 4, 2026
Large language models are increasingly used for structured extraction from clinical free-text notes, but the sensitivity of their output to upstream configuration choices is less understood than their accuracy on fixed benchmarks. This work measures ... read more 
Computation and Language cs.AI cs.LG

LLM Explainability with Counterfactual Chains and Causal Graphs

arXiv Jun 4, 2026
Causal graphs provide a high-level language for making mechanisms transparent. Recent work uses Large Language Models (LLMs) to recover causal graphs of external-world processes. Instead, in this paper, we use causal graphs to model LLM inference its... read more 
Machine Learning

T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation

arXiv Jun 4, 2026
Open-vocabulary 3D functionality segmentation enables robots to localize functional object components in 3D scenes. It is a challenging task that requires spatial understanding and task interpretation. Current open-vocabulary 3D segmentation methods ... read more 
Computer Vision and Pattern Recognition cs.RO

Video-Rate Streaming Stylization on a Vision-Aware MLLM-Conditioned Edit Diffusion: Asymmetric Batched Inference on a Distilled UNet + MLLM Text Encoder

arXiv Jun 4, 2026
Aggressive distillation of the diffusion U-Net inverts the per-frame bottleneck of real-time text-to-image pipelines: once the denoiser is a 4-step or 1-step distilled student, the text encoder becomes the critical path. This inversion is most acute ... read more 
Computer Vision and Pattern Recognition cs.LG

HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care

arXiv Jun 4, 2026
Medical knowledge graphs (MKGs) infused with clinical knowledge have been increasingly used to model electronic health records (EHRs) to support interpretable predictions in healthcare domain. However, existing MKG-based approaches are limited in cap... read more 
Machine Learning eess.SP
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