Artificial Intelligence Medical Compendium

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

Showing 46,611 to 46,620 of 224,199 articles

A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling

arXiv
Foundation models for medical imaging are typically pretrained on increasingly large datasets, following a "scale-at-all-costs" paradigm. However, this strategy faces two critical challenges: large-scale medical datasets often contain substantial red... read more 

From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

arXiv
As Large Multimodal Models (LMMs) scale up and reinforcement learning (RL) methods mature, LMMs have made notable progress in complex reasoning and decision making. Yet training still relies on static data and fixed recipes, making it difficult to di... read more 

GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion

arXiv
This paper focuses on enhancing the grasping precision and generalization of manipulation policies learned via imitation learning. Diffusion-based policy learning methods have recently become the mainstream approach for robotic manipulation tasks. As... read more 

Fair feature attribution for multi-output prediction: a Shapley-based perspective

arXiv
In this article, we provide an axiomatic characterization of feature attribution for multi-output predictors within the Shapley framework. While SHAP explanations are routinely computed independently for each output coordinate, the theoretical necess... read more 

OmniGAIA: Towards Native Omni-Modal AI Agents

arXiv
Human intelligence naturally intertwines omni-modal perception -- spanning vision, audio, and language -- with complex reasoning and tool usage to interact with the world. However, current multi-modal LLMs are primarily confined to bi-modal interacti... read more 

A Data-Driven Approach to Support Clinical Renal Replacement Therapy

arXiv
This study investigates a data-driven machine learning approach to predict membrane fouling in critically ill patients undergoing Continuous Renal Replacement Therapy (CRRT). Using time-series data from an ICU, 16 clinically selected features were id... read more 

Chain of Flow: A Foundational Generative Framework for ECG-to-4D Cardiac Digital Twins

arXiv
A clinically actionable Cardiac Digital Twin (CDT) should reconstruct individualised cardiac anatomy and physiology, update its internal state from multimodal signals, and enable a broad range of downstream simulations beyond isolated tasks. However,... read more 

OSDaR-AR: Enhancing Railway Perception Datasets via Multi-modal Augmented Reality

arXiv
Although deep learning has significantly advanced the perception capabilities of intelligent transportation systems, railway applications continue to suffer from a scarcity of high-quality, annotated data for safety-critical tasks like obstacle detec... read more 

MSINO: Curvature-Aware Sobolev Optimization for Manifold Neural Networks

arXiv
We introduce Manifold Sobolev Informed Neural Optimization (MSINO), a curvature aware training framework for neural networks defined on Riemannian manifolds. The method replaces standard Euclidean derivative supervision with a covariant Sobolev loss ... read more 

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation

arXiv
Parameter-efficient fine-tuning has demonstrated promising results across various visual adaptation tasks, such as classification and segmentation. Typically, prompt tuning techniques have harnessed knowledge from a single pre-trained model, whether ... read more