AIMC Topic: Delirium
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Confusion regarding the use of Natural Language Processing in ICU delirium assessment. Author's reply.
Intensive care medicine
May 23, 2022
Confusion regarding the use of Natural Language Processing in ICU delirium assessment.
Intensive care medicine
May 13, 2022
Postoperative delirium prediction using machine learning models and preoperative electronic health record data.
BMC anesthesiology
Jan 3, 2022
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) d...
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
Journal of medical systems
Mar 1, 2021
Early identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the accepta...
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.
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...
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...
Artificial Intelligence in Clinical Neurosciences.
World neurosurgery
Apr 18, 2019
New Approaches for the Treatment of Delirium: A Case for Robotic Pets.
The American journal of medicine
Feb 7, 2019
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