Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
<h3>Purpose of Review</h3><p dir="ltr">This literature review aims to provide a comprehensive overview of the recent advances in prediction models and the deployment of AI and ML in the prediction of cardiopulmonary resuscitation (CPR) success. The objectives are to under...
محفوظ في:
| المؤلف الرئيسي: | Sarah Aqel (17787809) (author) |
|---|---|
| مؤلفون آخرون: | Sebawe Syaj (11760737) (author), Ayah Al-Bzour (15158056) (author), Faris Abuzanouneh (17787812) (author), Noor Al-Bzour (17787815) (author), Jamil Ahmad (327791) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
The Role of Levosimendan in Extracorporeal Membrane Oxygenation for Refractory Cardiac Arrest
حسب: Rasha, Kaddoura
منشور في: (2025) -
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review
حسب: Asma Alamgir (18288895)
منشور في: (2021) -
Provision of bystander CPR for out-of-hospital cardiac arrest in the Middle East: a retrospective gender-based analysis
حسب: Emad Awad (17541264)
منشور في: (2023) -
The Role of Levosimendan in Extracorporeal Membrane Oxygenation for Refractory Cardiac Arrest
حسب: Rasha Kaddoura (12506936)
منشور في: (2025) -
The role of point-of-care ultrasound (POCUS) imaging in clinical outcomes during cardiac arrest: a systematic review
حسب: Hany A. Zaki (17337673)
منشور في: (2024)