[HTML][HTML] Machine learning–based early warning systems for clinical deterioration: systematic sco** review
S Muralitharan, W Nelson, S Di, M McGillion… - Journal of medical …, 2021 - jmir.org
Background Timely identification of patients at a high risk of clinical deterioration is key to
prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital …
prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital …
Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review
A Boonstra, M Laven - BMC health services research, 2022 - Springer
Objective This systematic literature review aims to demonstrate how Artificial Intelligence (AI)
is currently used in emergency departments (ED) and how it alters the work design of ED …
is currently used in emergency departments (ED) and how it alters the work design of ED …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
An earlier serial lactate determination analysis of cardiac arrest patients using a medical machine learning model
MA Mohammed, MA Mohammed… - … , IoT and Security …, 2023 - ieeexplore.ieee.org
In general, cardiac arrest results in an inability to pump enough blood for the body's needs.
Through this, the organs and tissues get enough oxygen and nutrients for their metabolic …
Through this, the organs and tissues get enough oxygen and nutrients for their metabolic …
Transparency and trust in human-AI-interaction: The role of model-agnostic explanations in computer vision-based decision support
C Meske, E Bunde - Artificial Intelligence in HCI: First International …, 2020 - Springer
Abstract Computer Vision, and hence Artificial Intelligence-based extraction of information
from images, has increasingly received attention over the last years, for instance in medical …
from images, has increasingly received attention over the last years, for instance in medical …
Artificial intelligence and machine learning in emergency medicine
KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
Machine learning for prediction of septic shock at initial triage in emergency department
Background We hypothesized utilizing machine learning (ML) algorithms for screening
septic shock in ED would provide better accuracy than qSOFA or MEWS. Methods The study …
septic shock in ED would provide better accuracy than qSOFA or MEWS. Methods The study …
[HTML][HTML] The aspects of running artificial intelligence in emergency care; a sco** review
MM Hosseini, STM Hosseini, K Qayumi… - Archives of academic …, 2023 - ncbi.nlm.nih.gov
Methods: A comprehensive literature collection was compiled through electronic
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
[HTML][HTML] Artificial intelligence in ventricular arrhythmias and sudden death
Sudden cardiac arrest due to lethal ventricular arrhythmias is a major cause of mortality
worldwide and results in more years of potential life lost than any individual cancer. Most of …
worldwide and results in more years of potential life lost than any individual cancer. Most of …
[HTML][HTML] Leveraging large-scale electronic health records and interpretable machine learning for clinical decision making at the emergency department: protocol for …
Background: There is a growing demand globally for emergency department (ED) services.
An increase in ED visits has resulted in overcrowding and longer waiting times. The triage …
An increase in ED visits has resulted in overcrowding and longer waiting times. The triage …