This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (93) Cardiac Arrhythmia, Atrial Fibrillation (84) Cardiac Risk and Cardiac Risk Calculators (45) Myocardial Infarction (Heart Attack) (44) Artificial Intelligence (1371) Machine Learning (1465) Decision Support for Health Professionals (1185) Computer-Aided Diagnosis (128)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30798, first published .
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Authors of this article:

Asma Alamgir1 Author Orcid Image ;   Osama Mousa1 Author Orcid Image ;   Zubair Shah1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Mun E, Cho J. Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ. Tuberculosis and Respiratory Diseases 2023;86(1):23 View
  2. Aslanidis T. Precision Medicine in Emergency Medicine. Digital Medicine and Healthcare Technology 2022;2022:1 View
  3. Toy J, Bosson N, Schlesinger S, Gausche-Hill M, Stratton S. Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review. Resuscitation Plus 2023;16:100491 View
  4. Darginavicius L, Vencloviene J, Dobozinskas P, Vaitkaitiene E, Vaitkaitis D, Pranskunas A, Krikscionaitiene A. AI-Enabled Public Surveillance Cameras for Rapid Emergency Medical Service Activation in Out-of-Hospital Cardiac Arrests. Current Problems in Cardiology 2023;48(11):101915 View
  5. De Sario Velasquez G, Forte A, McLeod C, Bruce C, Pacheco-Spann L, Maita K, Avila F, Torres-Guzman R, Garcia J, Borna S, Felton C, Carter R, Haider C. Predicting Cardiopulmonary Arrest with Digital Biomarkers: A Systematic Review. Journal of Clinical Medicine 2023;12(23):7430 View
  6. Rajapaksha L, Vidanagamachchi S, Gunawardena S, Thambawita V. An Open-Access Dataset of Hospitalized Cardiac-Arrest Patients: Machine-Learning-Based Predictions Using Clinical Documentation. BioMedInformatics 2023;4(1):34 View
  7. Aziz S, Afreen N, Akram F, Ahmed M. A Framework for Cardiac Arrest Prediction via Application of Ensemble Learning Using Boosting Algorithms. Procedia Computer Science 2024;235:3293 View
  8. Jain H, Marsool M, Odat R, Noori H, Jain J, Shakhatreh Z, Patel N, Goyal A, Gole S, Passey S. Emergence of Artificial Intelligence and Machine Learning Models in Sudden Cardiac Arrest: A Comprehensive Review of Predictive Performance and Clinical Decision Support. Cardiology in Review 2024 View
  9. Karatas T, Tortum F. Yapay Zekâ Eşliğinde Kardiak Arreste Yaklaşım Sağ Kalım Oranını Artırır mı? Nörolojik Sonuçlar İyileşir mi?. Ağrı Tıp Fakültesi Dergisi 2024;2(2):88 View
  10. Bashkirova L, Kit I, Havryshchuk Y, Krasnova A, Vasylyuk-Zaitseva S. Artificial Intelligence in Medicine: from Diagnosis to Treatment. Futurity Medicine 2024;3(3) View
  11. Orlova I, Abramchuk O, Babik I, Borysiuk I, Dats-Opoka M. Future Trends in Genetic Research and Their Implications for Public Health: A Literature Review. Futurity Medicine 2024;3(4) View
  12. Zarenezhad E, Hadi A, Nournia E, Rostamnia S, Ghasemian A, Cherstvy A. A Comprehensive Review on Potential In Silico Screened Herbal Bioactive Compounds and Host Targets in the Cardiovascular Disease Therapy. BioMed Research International 2024;2024(1) View

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  1. Sarkar N, Goel S. Biomedical Research Developments for Improved Healthcare. View