AIMC Topic: Hypotension
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Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study.
PloS one
Aug 9, 2022
To develop deep learning models for predicting Interoperative hypotension (IOH) using waveforms from arterial blood pressure (ABP), electrocardiogram (ECG), and electroencephalogram (EEG), and to determine whether combination ABP with EEG or CG impro...
Provisional Decision-Making for Perioperative Blood Pressure Management: A Narrative Review.
Oxidative medicine and cellular longevity
Jul 11, 2022
Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply will cause tissue hypoxia, provoke cellular oxidative stress, and to some extent lead to organ injury. Perioperative BP is labile and dynamic, and intra...
Machine learning model to predict hypotension after starting continuous renal replacement therapy.
Scientific reports
Aug 25, 2021
Hypotension after starting continuous renal replacement therapy (CRRT) is associated with worse outcomes compared with normotension, but it is difficult to predict because several factors have interactive and complex effects on the risk. The present ...
Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.
BMC nephrology
Aug 9, 2021
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ...
Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.
Scientific reports
Aug 3, 2021
In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pressure (ABP) is monitored non-invasively but intermittently using a blood pressure cuff. Since even a few minutes of hypotension increases the risk of ...
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients.
Artificial intelligence in medicine
May 29, 2021
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to predict critical conditions such as hemodynamic instability. We developed the Multi-task Learning Physiological Deep Learner (MTL-PDL), a deep learnin...
Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension.
Clinical journal of the American Society of Nephrology : CJASN
Feb 11, 2021
BACKGROUND AND OBJECTIVES: Intradialytic hypotension has high clinical significance. However, predicting it using conventional statistical models may be difficult because several factors have interactive and complex effects on the risk. Herein, we ap...
Deep learning models for the prediction of intraoperative hypotension.
British journal of anaesthesia
Feb 6, 2021
BACKGROUND: Intraoperative hypotension is associated with a risk of postoperative organ dysfunction. In this study, we aimed to present deep learning algorithms for real-time predictions 5, 10, and 15 min before a hypotensive event.
One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making.
Surgery
Dec 11, 2020
This review describes the steps and conclusions from the development and validation of an artificial intelligence algorithm (the Hypotension Prediction Index), one of the first machine learning predictive algorithms used in the operating room environ...
Interaction between hypotension and age on adrenal crisis diagnosis.
Endocrinology, diabetes & metabolism
Dec 2, 2020
OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition of hypotension.
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