Latest AI and machine learning research in intensivists for healthcare professionals.
Acute brain dysfunction (ABD) is a common, severe ICU complication, presenting as delirium or coma...
While previous multimodal slow-thinking methods have demonstrated remarkable success in single-ima...
Septic acute respiratory distress syndrome (ARDS) is a complex and noteworthy type, but its molecula...
Foundation models (FMs) such as GPT-4 exhibit exceptional generative capabilities across diverse d...
Individual treatment effect (ITE) estimation is to evaluate the causal effects of treatment strate...
Multi-omics data often suffer from the "big $p$, small $n$" problem where the dimensionality of feat...
The issue of failed weaning is a critical concern in the intensive care unit (ICU) setting. This s...
The complex mechanical environment of peripheral arteries makes stents with poor torsional performan...
The multivariate, asynchronous nature of real-world clinical data, such as that generated in Inten...
Background: The search for new biomarkers that allow an early diagnosis in sepsis has become a nec...
This paper introduces Multi-Modal Retrieval-Augmented Generation (M^2RAG), a benchmark designed to...
Sepsis is a major cause of ICU mortality, where early recognition and effective interventions are ...
Heart failure is one of the leading causes of death worldwide, with millons of deaths each year, a...
In critical care settings, where precise and timely interventions are crucial for health outcomes,...
Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic ...
Predicting medical events in advance within critical care settings is paramount for patient outcom...
Conversational query clarification enables users to refine their search queries through interactiv...
Insulators are crucial insulation components and structural supports in power grids, playing a vit...
Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...
Large Language Models (LLMs) demonstrate remarkable generalizability across diverse tasks, yet gen...
Large multimodal models (LMMs) demonstrate impressive capabilities in understanding images, videos...