AIMC Topic: Delirium

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Machine Learning to Develop and Internally Validate a Predictive Model for Post-operative Delirium in a Prospective, Observational Clinical Cohort Study of Older Surgical Patients.

Journal of general internal medicine Oct 19, 2020
BACKGROUND: Our objective was to assess the performance of machine learning methods to predict post-operative delirium using a prospective clinical cohort.
Aged Cohort Studies Logistic Models Delirium Humans Machine Learning Prospective Studies
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Postanesthesia care unit delirium following robot-assisted vs open retropubic radical prostatectomy: A prospective observational study.

The international journal of medical robotics + computer assisted surgery : MRCAS Mar 5, 2020
BACKGROUND: The aim of this study was to compare the incidence of early postoperative delirium in the postanesthesia care unit (PACU) between robot-assisted radical prostatectomy (RARP) in the extreme Trendelenburg position and open retropubic radica...
Robotics Prostatic Neoplasms Humans Robotic Surgical Procedures Male Delirium Treatment Outcome Prostatectomy
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Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Scientific reports May 29, 2019
Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial i...
Humans Prospective Studies Critical Illness Intensive Care Units Wearable Electronic Devices Remote Sensing Technology Feasibility Studies Male Delirium Middle Aged Critical Care Deep Learning Video Recording Female Pilot Projects Accelerometry Aged Adult
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Artificial Intelligence in Clinical Neurosciences.

World neurosurgery Apr 18, 2019
Artificial Intelligence Phenotype Computer Systems Triage Humans Neural Networks, Computer Delirium Neuroimaging Biometric Identification Neurosciences
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New Approaches for the Treatment of Delirium: A Case for Robotic Pets.

The American journal of medicine Feb 7, 2019
Pets Animals Male Middle Aged Inpatients Robotics Delirium Animal Assisted Therapy Humans Female Aged Aged, 80 and over Adult
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Mapping the Delirium Literature Through Probabilistic Topic Modeling and Network Analysis: A Computational Scoping Review.

Psychosomatics Dec 22, 2018
BACKGROUND: Delirium is an acute confusional state, associated with morbidity and mortality in diverse medically-ill populations. Delirium is recognized, through both professional competencies and instructional materials, as a core topic in consultat...
Delirium Humans Probability Psychiatry Bibliometrics
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Humans Wavelet Analysis Decision Support Systems, Clinical Machine Learning Clinical Alarms Monitoring, Physiologic Software Randomized Controlled Trials as Topic Electronic Health Records Arrhythmias, Cardiac Delirium Algorithms Atrial Fibrillation Adult Critical Care Databases, Factual Respiration, Artificial Expert Systems Intensive Care Units Sepsis
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Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.

JAMA network open Aug 3, 2018
IMPORTANCE: Current methods for identifying hospitalized patients at increased risk of delirium require nurse-administered questionnaires with moderate accuracy.
Risk Assessment Adolescent Cognitive Dysfunction Cohort Studies Adult Delirium Female Forecasting Humans Models, Educational Male Hospitalization Retrospective Studies Machine Learning Middle Aged Aged Electronic Health Records Young Adult
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Machine Learning for Prediction in Electronic Health Data.

JAMA network open Aug 3, 2018
Machine Learning Humans Electronic Health Records Cognitive Dysfunction Delirium
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Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning.

Physiological measurement Mar 27, 2018
OBJECTIVE: Delirium is an important syndrome found in patients in the intensive care unit (ICU), however, it is usually under-recognized during treatment. This study was performed to investigate whether delirious patients can be successfully distingu...
Electrocardiography Delirium Heart Rate Early Diagnosis Intensive Care Units Female Male Middle Aged Humans Machine Learning Prognosis
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