AIMC Topic: Heart Arrest

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Trends and insights about cardiac arrest and artificial intelligence on PubMed using ChatGPT-4.

Resuscitation Jan 26, 2024
Artificial Intelligence PubMed Heart Arrest Humans
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External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.

Critical care medicine Dec 20, 2023
OBJECTIVES: The limitations of current early warning scores have prompted the development of deep learning-based systems, such as deep learning-based cardiac arrest risk management systems (DeepCARS). Unfortunately, in South Korea, only two instituti...
Humans Hospitals, University Patients' Rooms Risk Management Retrospective Studies Heart Arrest Adult Deep Learning
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Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.

Critical care (London, England) Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Prospective Studies Retrospective Studies Intensive Care Units Humans Heart Arrest Hospitals, Teaching Cohort Studies Adult Patients' Rooms Deep Learning Risk Management
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On the path to artificial intelligence analysis of brain CT after cardiac arrest.

Resuscitation Aug 25, 2023
Brain Tomography, X-Ray Computed Neuroimaging Humans Artificial Intelligence Heart Arrest
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Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams.

Journal of robotic surgery May 1, 2023
Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery, can be challenging. We aimed to present a full immersion simulation module to train robotic surgical teams to manage a crisis scenario, enhance teamw...
Robotics Robotic Surgical Procedures Heart Arrest Simulation Training Patient Care Team Humans Clinical Competence
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Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.

IEEE transactions on bio-medical engineering Apr 21, 2022
OBJECTIVE: Most cardiac arrest patients who are successfully resuscitated are initially comatose due to hypoxic-ischemic brain injury. Quantitative electroencephalography (EEG) provides valuable prognostic information. However, prior approaches large...
Heart Arrest Coma Humans Deep Learning Electroencephalography Prospective Studies
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Robot-Assisted Totally Endoscopic Mitral Valve Plasty and Coronary Artery Bypass Grafting.

The Annals of thoracic surgery Apr 18, 2022
We experienced 3 cases of port-access robot-assisted totally endoscopic technique for mitral valve repair and concomitant coronary artery bypass. The right internal mammary artery was harvested, mitral valve was fixed, and the right internal mammary ...
Humans Heart Arrest Mitral Valve Coronary Vessels Coronary Artery Bypass Endoscopy Robotics
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Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk.

Frontiers in public health Oct 22, 2021
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of healthcare. The healthcare industry has a vast collection of datasets f...
Bayes Theorem Machine Learning Humans Heart Arrest Support Vector Machine Neural Networks, Computer
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Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.

Journal of Korean medical science Jul 19, 2021
BACKGROUND: We performed this study to establish a prediction model for 1-year neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients who achieved return of spontaneous circulation (ROSC) immediately after ROSC using machine learning...
Heart Arrest Humans Survivors Machine Learning Retrospective Studies Return of Spontaneous Circulation Out-of-Hospital Cardiac Arrest Survival Rate Registries Cardiopulmonary Resuscitation Male Female Treatment Outcome Middle Aged Aged Emergency Medical Services
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A predictive framework in healthcare: Case study on cardiac arrest prediction.

Artificial intelligence in medicine May 7, 2021
Data-driven healthcare uses predictive analytics to enhance decision-making and personalized healthcare. Developing prognostic models is one of the applications of predictive analytics in medical environments. Various studies have used machine learni...
Sepsis Heart Arrest Machine Learning Humans Delivery of Health Care
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