Intensivists

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

4,771 articles

Hospital-Based-Medicine Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 1135-1155 of 4,771 articles

Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction.

Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of anti...

Sep 2019 31607345

Retrospective Observational Study of the Clinical Performance Characteristics of a Machine Learning Approach to Early Sepsis Identification.

UNLABELLED: To estimate performance characteristics and impact on care processes of a machine learni...

Sep 2019 32166288

Predicting sepsis with a recurrent neural network using the MIMIC III database.

OBJECTIVE: Predicting sepsis onset with a recurrent neural network and performance comparison with I...

Aug 2019 31480008

Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical devel...

Jul 2019 31521253

Novel drug-independent sedation level estimation based on machine learning of quantitative frontal electroencephalogram features in healthy volunteers.

BACKGROUND: Sedation indicators based on a single quantitative EEG (QEEG) feature have been criticis...

Jul 2019 31326088

Designing minimal and scalable insect-inspired multi-locomotion millirobots.

In ant colonies, collectivity enables division of labour and resources with great scalability. Beyon...

(1)

Jul 2019 31292552

An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early pre...

Jun 2019 31416562

Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Currently, many critical care indices are not captured automatically at a granular level, rather are...

(1)

May 2019 31142754

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.

OBJECTIVE: Sepsis remains a costly and prevalent syndrome in hospitals; however, machine learning sy...

Apr 2019 31035074

Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's disco...

(1)

Apr 2019 31026040

Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU.

Studies reveal that the false alarm rate (FAR) demonstrated by intensive care unit (ICU) vital signs...

Apr 2019 30955160

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current st...

Apr 2019 31076048

Machine learning for patient risk stratification for acute respiratory distress syndrome.

BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual...

Mar 2019 30921400

An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.

OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artific...

Mar 2019 30913936

A multi-task convolutional deep neural network for variant calling in single molecule sequencing.

The accurate identification of DNA sequence variants is an important, but challenging task in genomi...

Mar 2019 30824707

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...

(1)

Feb 2019 30794638

An attention based deep learning model of clinical events in the intensive care unit.

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...

Feb 2019 30759094

Optimal adaptive control of drug dosing using integral reinforcement learning.

In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for...

Feb 2019 30735696

Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.

OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs...

Jan 2019 30703765

Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting.

Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiatio...

Jan 2019 30666184

Prediction of sepsis patients using machine learning approach: A meta-analysis.

STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and...

Dec 2018 30712598

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