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07/27/2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures
Initial hours of hospital admission impact clinical trajectory, but earl...
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06/30/2023
Transformers in Healthcare: A Survey
With Artificial Intelligence (AI) increasingly permeating various aspect...
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03/13/2023
Transformer Models for Acute Brain Dysfunction Prediction
Acute brain dysfunctions (ABD), which include coma and delirium, are pre...
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03/11/2023
Predicting risk of delirium from ambient noise and light information in the ICU
Existing Intensive Care Unit (ICU) delirium prediction models do not con...
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03/11/2023
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
The intensive care unit (ICU) is a specialized hospital space where crit...
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03/09/2023
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit
In the United States, more than 5 million patients are admitted annually...
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03/08/2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis
Objectives: We aim to quantify longitudinal acute kidney injury (AKI) tr...
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11/12/2022
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units
Pain is a common occurrence among patients admitted to Intensive Care Un...
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08/09/2022
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture
Automated object recognition in medical images can facilitate medical di...
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11/09/2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
Recent deep learning research based on Transformer model architectures h...
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10/04/2021
Posture Recognition in the Critical Care Settings using Wearable Devices
Low physical activity levels in the intensive care units (ICU) patients ...
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04/27/2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Background: During the early stages of hospital admission, clinicians mu...
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04/27/2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
Accurate prediction of postoperative complications can inform shared dec...
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04/27/2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
Deep learning continues to revolutionize an ever-growing number of criti...
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04/21/2020
Pain and Physical Activity Association in Critically Ill Patients
Critical care patients experience varying levels of pain during their st...
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04/20/2020
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
Pain and physical function are both essential indices of recovery in cri...
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04/19/2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey
In the last decade, Human Activity Recognition (HAR) has become a very i...
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10/28/2019
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
To test the hypothesis that accuracy, discrimination, and precision in p...
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10/21/2019
ICU Delirium Prediction Models: A Systematic Review
Purpose: Summarize ICU delirium prediction models published within the p...
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09/16/2019
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
In cognitive psychology, automatic and self-reinforcing irrational thoug...
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06/27/2019
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality
Background: Patients undergoing critical care can experience negative ou...
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12/18/2018
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome
We analyzed the relation between surgical service providers' network str...
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05/11/2018
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics
Acute kidney injury (AKI) is a common and serious complication after a s...
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04/25/2018
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
Currently, many critical care indices are repetitively assessed and reco...
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02/28/2018
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning
Traditional methods for assessing illness severity and predicting in-hos...
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12/18/2017
Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care Unit
Early mobilization of critically ill patients in the Intensive Care Unit...
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08/04/2017
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning
As the popularity of social media platforms continues to rise, an ever-i...
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06/12/2017