Artificial Intelligence in Resuscitation: A Scoping Review.
Dmitriy VidermanYerkin G AbdildinKamila BatkuldinovaRafael BadenesFederico BilottaPublished 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
- heart failure
- quality improvement
- heart rate
- adipose tissue
- blood pressure
- type diabetes
- weight loss
- cardiac resynchronization therapy
- insulin resistance
- glycemic control