Dear Colleagues,

Resuscitation medicine has seen major progress in recent decades. Clinical practices have new evolutions based on the current researches. The chance for neurological favorable outcomes increases under implemention of evidence-based clinical guidelines. In the molecular era, many studies have elucidated the biological changes and underlying molecular mechanisms in cardiac arrest and the post-cardiac arrest period. Multidisplinary cooperation including cardiologists, neurologists, emegency physicians and intensivists has extended the scopes of cardiac arrest research. Machine learning and artificial intelligence provide better chances of communication, prediction and practice in resuscitating patients both during pre-hospital and hospital care. This special issue will focus on emerging aspects of cardiac arrest biological mechanisms and management to idenify new therapies for special patient groups along with key interventions for improving outcomes.

Emerging aspects:

1. Pre-hospital life-support intervention for cardiac arrest 
2. New therapeutic model and agents for cardiopulmonary resuscitation
3. Prognosis evalution following post-cardiac arrest
4. Intensive care including targeted temperature mangement in post-cardiac arrest patients
5. Neurological evaluation and management for comatous cardiac arrest patients
6. Hemodynamic management for post-cardiac arrest shock patients
7. Biololgical molecular mechanisms studies for post-cardiac arrest syndrome
8. Application of novel modalities, including artitificial intellegence in cardiac arrest

Prof. Chien-Hua Huang

Guest Editor