Cardiac arrest is a leading cause of mortality and important public health concern in the world. Over the past few decades, survival rates after cardiac arrest have gradually improved. This is the consequence of technological progress. As for bystander cardiopulmonary resuscitation (CPR), the spread of smartphones, as well as improvement of their performance, has enabled citizen rescuers to perform video-assisted (or telephone-assisted) cardiopulmonary resuscitation, and mobile-phone positioning system has enabled trained lay volunteers to be dispatched to cardiac arrest. In addition, drone delivery of an automated external defibrillator (AED) is becoming a reality. As for treatment, recent progress in post-cardiac arrest care including extracorporeal CPR (ECPR) and targeted temperature management may promise well for the future. As for prognostication, not only progress in medical devices but also utilization of big data, machine learning, and artificial intelligence may make it possible to improve prediction accuracy.
This Research Topic aims to shed light on the recent technological advances made across all aspects of resuscitation science and reflect on the future challenges faced by scientists in this area.
Cardiac arrest is a leading cause of mortality and important public health concern in the world. Over the past few decades, survival rates after cardiac arrest have gradually improved. This is the consequence of technological progress. As for bystander cardiopulmonary resuscitation (CPR), the spread of smartphones, as well as improvement of their performance, has enabled citizen rescuers to perform video-assisted (or telephone-assisted) cardiopulmonary resuscitation, and mobile-phone positioning system has enabled trained lay volunteers to be dispatched to cardiac arrest. In addition, drone delivery of an automated external defibrillator (AED) is becoming a reality. As for treatment, recent progress in post-cardiac arrest care including extracorporeal CPR (ECPR) and targeted temperature management may promise well for the future. As for prognostication, not only progress in medical devices but also utilization of big data, machine learning, and artificial intelligence may make it possible to improve prediction accuracy.
This Research Topic aims to shed light on the recent technological advances made across all aspects of resuscitation science and reflect on the future challenges faced by scientists in this area.
