Latest AI and machine learning research in intensivists for healthcare professionals.
Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...
Generative models have made remarkable advancements and are capable of producing high-quality cont...
In critical care settings, timely and accurate predictions can significantly impact patient outcom...
Image fusion, a fundamental low-level vision task, aims to integrate multiple image sequences into...
False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing t...
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity...
The fusion of Large Language Models with vision models is pioneering new possibilities in user-int...
Multi-modal time series analysis has recently emerged as a prominent research area in data mining,...
Recent advances in multi-modal large language models (MLLMs) have demonstrated strong performance ...
The widespread adoption of Large Language Models (LLMs) and LLM-powered agents in multi-user setti...
We developed and validated TRisk, a Transformer-based AI model predicting 36-month mortality in he...
This study presents a novel multi-output classification (MOC) framework designed for domain adapta...
With the continuous advancement of human exploration into deep space, intelligent perception and h...
Federated learning (FL) enables the collaborative training of deep neural networks across decentra...
The prediction of nanoparticles (NPs) distribution is crucial for the diagnosis and treatment of t...
This study reports the findings of qualitative interview sessions conducted with ICU clinicians fo...
Network pharmacology (NP) explores pharmacological mechanisms through biological networks. Multi-o...
All-in-One Degradation-Aware Fusion Models (ADFMs), a class of multi-modal image fusion models, ad...
Extracting high-quality structured information from scientific literature is crucial for advancing...
Acute brain dysfunction (ABD) is a common, severe ICU complication, presenting as delirium or coma...
Retinal vessel segmentation is critical for diagnosing ocular conditions, yet current deep learnin...