Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Subcategories: Sepsis
Showing 1555-1575 of 5,092 articles
Can Deep Learning-Based Volumetric Analysis Predict Oxygen Demand Increase in Patients with COVID-19 Pneumonia?

: This study aimed to investigate whether predictive indicators for the deterioration of respiratory...

Oct 2021 34833366
The impact of recency and adequacy of historical information on sepsis predictions using machine learning.

Sepsis is a major public and global health concern. Every hour of delay in detecting sepsis signific...

Oct 2021 34675275
Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.

PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the br...

Oct 2021 34655052
An empirical study of using radiology reports and images to improve ICU-mortality prediction.

The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management fo...

Oct 2021 35531070
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients.

Although numerous studies are conducted every year on how to reduce the fatality rate associated wi...

Oct 2021 34722452
A Method for Short-Term Prediction of the Metro Station's Individual Energy Consumption Item Based on G-ACO-BP Model.

This paper proposes a new method to make short-term predictions for the three kinds of primary energ...

Oct 2021 34691169
Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database.

In medical visualization, nursing notes contain rich information about a patient's pathological cond...

Oct 2021 34691236
Transhiatal robot-assisted minimally invasive esophagectomy: unclear benefits compared to traditional transhiatal esophagectomy.

Esophagectomy is a high-risk operation, regardless of technique. Minimally invasive transthoracic es...

Sep 2021 34581956
Short-term and pathologic outcomes of robotic versus open pancreatoduodenectomy for periampullary and pancreatic head malignancy: an early experience.

Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-...

Sep 2021 34546523
FluNet: An AI-Enabled Influenza-Like Warning System.

Influenza is an acute viral respiratory disease that is currently causing severe financial and resou...

Sep 2021 35582344
Wearable RF Near-Field Cough Monitoring by Frequency-Time Deep Learning.

Coughing is a common symptom for many respiratory disorders, and can spread droplets of various size...

Sep 2021 34310320
Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.

OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early iden...

Sep 2021 34520246
DMC-Fusion: Deep Multi-Cascade Fusion With Classifier-Based Feature Synthesis for Medical Multi-Modal Images.

Multi-modal medical image fusion is a challenging yet important task for precision diagnosis and sur...

Sep 2021 34038372
Use of a Digital Chronic Obstructive Pulmonary Disease Respiratory Tracker in a Primary Care Setting: A Feasibility Study.

INTRODUCTION: Telemonitoring is a promising self-management strategy to improve health care outcomes...

Aug 2021 34463947
Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.

BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if ...

Aug 2021 34500141
Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.

Auscultation has been essential part of the physical examination; this is non-invasive, real-time, a...

Aug 2021 34433880
Two-phase non-invasive multi-disease detection via sublingual region.

Non-invasive multi-disease detection is an active technology that detects human diseases automatical...

Aug 2021 34520987
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