Artificial Intelligence in Resuscitation: A Scoping Review.

Dmitriy Viderman Yerkin G AbdildinKamila BatkuldinovaRafael Badenes Federico Bilotta

Published in: Journal of clinical medicine (2023)

AI might be useful in predicting cardiac arrest, heart rhythm disorders, and post-cardiac arrest outcomes, as well as in the delivery of drone-delivered defibrillators and notification of dispatchers. AI-powered technologies could be valuable assistants to continuously track patient conditions. Healthcare professionals should assist in the research and development of AI-powered technologies as well as their implementation into clinical practice.

Keyphrases

artificial intelligence
cardiac arrest
cardiopulmonary resuscitation
machine learning
clinical practice
big data
deep learning
atrial fibrillation
primary care
healthcare
heart failure
case report
heart rate
blood pressure
metabolic syndrome
left ventricular
weight loss
skeletal muscle
insulin resistance