Artificial Intelligence Medical Compendium

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

Showing 39,091 to 39,100 of 223,469 articles

PoiCGAN: A Targeted Poisoning Based on Feature-Label Joint Perturbation in Federated Learning

arXiv
Federated Learning (FL), as a popular distributed learning paradigm, has shown outstanding performance in improving computational efficiency and protecting data privacy, and is widely applied in industrial image classification. However, due to its di... read more 

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

arXiv
The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms to select an appropriate available model to respond to a user's prompts. Recent works have proposed offline and online learning formulations to ident... read more 

MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding

arXiv
Whole Slide Images (WSIs) exhibit hierarchical structure, where diagnostic information emerges from cellular morphology, regional tissue organization, and global context. Existing Computational Pathology (CPath) Multimodal Large Language Models (MLLM... read more 

Causal Reconstruction of Sentiment Signals from Sparse News Data

arXiv
Sentiment signals derived from sparse news are commonly used in financial analysis and technology monitoring, yet transforming raw article-level observations into reliable temporal series remains a largely unsolved engineering problem. Rather than tr... read more 

WorldMesh: Generating Navigable Multi-Room 3D Scenes via Mesh-Conditioned Image Diffusion

arXiv
Recent progress in image and video synthesis has inspired their use in advancing 3D scene generation. However, we observe that text-to-image and -video approaches struggle to maintain scene- and object-level consistency beyond a limited environment s... read more 

SLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes

arXiv
We propose SLARM, a feed-forward model that unifies dynamic scene reconstruction, semantic understanding, and real-time streaming inference. SLARM captures complex, non-uniform motion through higher-order motion modeling, trained solely on differenti... read more 

Group Editing : Edit Multiple Images in One Go

arXiv
In this paper, we tackle the problem of performing consistent and unified modifications across a set of related images. This task is particularly challenging because these images may vary significantly in pose, viewpoint, and spatial layout. Achievin... read more 

Deconvolution of omics data in Python with Deconomix -- cellular compositions, cell-type specific gene regulation, and background contributions

bioRxiv
Background: Gene expression profiles derived from heterogeneous bulk samples contain signals from various cell populations. Cell-type deconvolution approaches are computational tools to reverse engineer the composition of bulks in term of cell popula... read more 

Optimizing Biophysical Large-Scale Brain Circuit Models With Deep Neural Networks

bioRxiv
Biophysical modeling provides mechanistic insights into brain function, spanning single-neuron dynamics to large-scale circuit models. These models are governed by biologically meaningful parameters, many of which can be experimentally measured. Some... read more