Latest AI and machine learning research in critical care for healthcare professionals.
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...
The U.S. allocates nearly 18% of its GDP to healthcare but experiences lower life expectancy and h...
Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...
Auscultation plays a pivotal role in early respiratory and pulmonary disease diagnosis. Despite th...
PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help cli...
Speech production interferes with the measurement of changes in cardiac vagal activity during acute ...
Cloud infrastructure is the collective term for all physical devices within cloud systems. Failure...
Recent advancements in diffusion models have been leveraged to address inverse problems without ad...
Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanis...
Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various n...
Waveform signal analysis is a complex and important task in medical care. For example, mechanical ...
Clinical machine learning deployment across institutions faces significant challenges when patient...
With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality ...
Dark-field radiography of the human chest has been demonstrated to have promising potential for th...
In volume-to-volume translations in medical images, existing models often struggle to capture the ...
Accurate Intensive Care Unit (ICU) outcome prediction is critical for improving patient treatment ...
Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interfaces (BCIs) facilitate high-thr...
Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the br...
Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains w...
Precise evaluation of immune status is critical for managing diseases such as sepsis, in which the i...