Artificial Intelligence in Resuscitation: A Scoping Review

Viderman D. Abdildin Y.G. Batkuldinova K. Badenes R. Bilotta F.
March 2023 Multidisciplinary Digital Publishing Institute (MDPI)

Journal of Clinical Medicine
2023 #12 Issue 6

Introduction: Cardiac arrest is a significant cause of premature mortality and severe disability. Despite the death rate steadily decreasing over the previous decade, only 22% of survivors achieve good clinical status and only 25% of patients survive until their discharge from the hospital. The objective of this scoping review was to review relevant AI modalities and the main potential applications of AI in resuscitation. Methods: We conducted the literature search for related studies in PubMed, EMBASE, and Google Scholar. We included peer-reviewed publications and articles in the press, pooling and characterizing the data by their model types, goals, and benefits. Results: After identifying 268 original studies, we chose 59 original studies (reporting 1,817,419 patients) to include in the qualitative synthesis. AI-based methods appear to be superior to traditional methods in achieving high-level performance. Conclusion: 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.

artificial intelligence , cardiac arrest , premature mortality , resuscitation

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Department of Surgery, Nazarbayev University School of Medicine (NUSOM), Kerei, Zhanibek khandar Str. 5/1, Astana, 010000, Kazakhstan
Department of Mechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Ave., Astana, 010000, Kazakhstan
Department of Anaesthesiology and Intensive Care, Hospital Clìnico Universitario de Valencia, University of Valencia, Valencia, 46001, Spain
Department of Anesthesia and Intensive Care, University La Sapienza, Rome, 00185, Italy

Department of Surgery
Department of Mechanical and Aerospace Engineering
Department of Anaesthesiology and Intensive Care
Department of Anesthesia and Intensive Care

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