AI Medical Compendium Journal:
Anaesthesia, critical care & pain medicine

Showing 1 to 10 of 13 articles

Is artificial intelligence prepared for the 24-h shifts in the ICU?

Anaesthesia, critical care & pain medicine Oct 3, 2024
Integrating machine learning (ML) into intensive care units (ICUs) can significantly enhance patient care and operational efficiency. ML algorithms can analyze vast amounts of data from electronic health records, physiological monitoring systems, and...
Critical Care Algorithms Intensive Care Units Humans Artificial Intelligence Machine Learning
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Critical Care Risk Assessment Early Diagnosis Cross Infection ROC Curve Intensive Care Units Shock, Septic Male Female Middle Aged Adult Sensitivity and Specificity Aged Humans Machine Learning Sepsis Hospital Mortality
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Integrating StEP-COMPAC definition and enhanced recovery after surgery status in a machine-learning-based model for postoperative pulmonary complications in laparoscopic hepatectomy.

Anaesthesia, critical care & pain medicine Sep 13, 2024
BACKGROUND: Postoperative pulmonary complications (PPCs) contribute to high mortality rates and impose significant financial burdens. In this study, a machine learning-based prediction model was developed to identify patients at high risk of developi...
Machine Learning Retrospective Studies Aged Adult Female Humans Hepatectomy Enhanced Recovery After Surgery Male Middle Aged Laparoscopy Lung Diseases Postoperative Complications
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Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The "ADVENTURE" study.

Anaesthesia, critical care & pain medicine May 6, 2024
BACKGROUND: Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is time-consuming, costly, and prone to human errors. We aimed to demonstrate the...
Quality Improvement Anesthesia Medication Errors Adverse Drug Reaction Reporting Systems Algorithms France Patient Safety Artificial Intelligence Machine Learning Natural Language Processing Humans
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New approach of classifying venous congestion in critically ill patients based on unsupervised machine-learning technique.

Anaesthesia, critical care & pain medicine May 4, 2024
Unsupervised Machine Learning Hyperemia Humans Critical Illness
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ChatGPT in the world of medical research: From how it works to how to use it.

Anaesthesia, critical care & pain medicine Apr 6, 2023
Humans Biomedical Research Artificial Intelligence
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Elevating scientific writing with ChatGPT: A guide for reviewers, editors… and authors.

Anaesthesia, critical care & pain medicine Mar 3, 2023
Writing Humans Artificial Intelligence
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Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan's largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development.

Anaesthesia, critical care & pain medicine Oct 24, 2022
OBJECTIVE: While clinical Artificial Intelligence (cAI) mortality prediction models and relevant studies have increased, limitations including the lack of external validation studies and inadequate model calibration leading to decreased overall accur...
Humans Artificial Intelligence Intensive Care Units Japan Deep Learning Hospital Mortality
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Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.

Anaesthesia, critical care & pain medicine Dec 27, 2021
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significan...
Prognosis Hospitalization Adult Humans Machine Learning Time Factors Out-of-Hospital Cardiac Arrest
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Anaesthesia management during paediatric robotic surgery: preliminary results from a single centre multidisciplinary experience.

Anaesthesia, critical care & pain medicine Mar 20, 2021
INTRODUCTION: Paediatric robotic surgery is gaining popularity across multiple disciplines and offers technical advantages in complex procedures requiring delicate dissection. To date, limited publications describe its perioperative management in chi...
Operative Time Robotics Adult Robotic Surgical Procedures Humans Child Anesthesia Retrospective Studies Laparoscopy
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