Artificial Intelligence Medical Compendium

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

Showing 33,841 to 33,850 of 221,510 articles

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing

arXiv
Achieving physically accurate object manipulation in image editing is essential for its potential applications in interactive world models. However, existing visual generative models often fail at precise spatial manipulation, resulting in incorrect ... read more 

TurPy: a physics-based and differentiable optical turbulence simulator for algorithmic development and system optimization

arXiv
Developing optical systems for free-space applications requires simulation tools that accurately capture turbulence-induced wavefront distortions and support gradient-based optimization. Here we introduce TurPy, a GPU-accelerated, fully differentiabl... read more 

Non-identifiability of Explanations from Model Behavior in Deep Networks of Image Authenticity Judgments

arXiv
Deep neural networks can predict human judgments, but this does not imply that they rely on human-like information or reveal the cues underlying those judgments. Prior work has addressed this issue using attribution heatmaps, but their explanatory va... read more 

GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

arXiv
We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to the inputs, while supporting high-fidelity facial and full-body animat... read more 

GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

arXiv
We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to the inputs, while supporting high-fidelity facial and full-body animat... read more 

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering

arXiv
Large language models (LLMs) have demonstrated strong capabilities in medical question answering; however, purely parametric models often suffer from knowledge gaps and limited factual grounding. Retrieval-augmented generation (RAG) addresses this li... read more 

Are Face Embeddings Compatible Across Deep Neural Network Models?

arXiv
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for domain-specific tasks. At the same time, foundation models that are pretrained on broad v... read more 

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

arXiv
Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) classification in computational pathology. However, current MIL aggregators route all instances through a shared pathway, constraining their capacity to ... read more 

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

arXiv
Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clinical availability restricts large-scale research and clinical deployme... read more 

Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images

arXiv
Recent advances in vision-language models (VLMs) have improved image captioning for cultural heritage. However, inferring structured cultural metadata (e.g., creator, origin, period) from visual input remains underexplored. We introduce a multi-categ... read more