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Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
Recent deep learning research based on Transformer model architectures has demonstrated state-of-the-art performance across a variety of domains and tasks, mostly within the computer vision and natural language processing domains.
Posture Recognition in the Critical Care Settings using Wearable Devices
Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes.
Analysis of Intra-Operative Physiological Responses Through Complex Higher-Order SVD for Long-Term Post-Operative Pain Prediction
The dynamics of patients' physiological responses to these surgical events are linked to long-term post-operative pain development.
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
Pain and physical function are both essential indices of recovery in critically ill patients in the Intensive Care Units (ICU).
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial intelligence for autonomous and granular monitoring of critically ill patients and their environment in the Intensive Care Unit (ICU).
