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Št. zadetkov: 3
Analyzing resuscitation conference content through the lens of the chain of survival
Nino Fijačko, Sebastian Schnaubelt, Vinay Nadkarni, Špela Metličar, Robert Greif
Kratki znanstveni prispevek
Oznake: resuscitation science;resuscitation conferences;abstracts;chain of survival;inclusivity;artificial intelligence;machine learning;deep learning;
Leto: 2025 Vir: Fakulteta za zdravstvene vede (UM FZV)
ǂThe ǂuse of social media platforms in adult basic life support research
Nino Fijačko, Sebastian Schnaubelt, Giuseppe Stirparo, Elena Maria Ticozzi, Giuseppe Ristagno, Federico Semeraro, Robert Greif
Pregledni znanstveni članek
Oznake: social media;platforms;adult basic life support;application;
Background Social media (SoMe) is expanding globally, with increasing adoption in research, including resuscitation science. Its widespread reach and growing influence make it a valuable tool for research and knowledge dissemination. We aimed to assess the utilization of SoMe, highlight its applicat ...
Leto: 2025 Vir: Fakulteta za zdravstvene vede (UM FZV)
Artificial intelligence in resuscitation
Drieda Zace, Federico Semeraro, Sebastian Schnaubelt, Jonathan Montomoli, Giuseppe Ristagno, Nino Fijačko, Lorenzo Gamberini, Elena Giovanna Bignami, Robert Greif, Koenraad G. Monsieurs, Andrea Scapigliati
Pregledni znanstveni članek
Oznake: cardiac arrest;resuscitation;artificial intelligence;machine learning;deep learning;large language model;scoping review;
Background Artificial intelligence (AI) is increasingly applied in medicine, with growing interest in its potential to improve outcomes in cardiac arrest (CA). However, the scope and characteristics of current AI applications in resuscitation remain unclear. Methods This scoping review aims to ma ...
Leto: 2025 Vir: Fakulteta za zdravstvene vede (UM FZV)
Št. zadetkov: 3
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