Key result
AI outperforms traditional methods for the early prediction of sudden cardiac arrest.
Why the study?
Sudden cardiac arrest has very low survival rates, and artificial intelligence approaches may improve early prediction compared with traditional methods to enable timely treatment.
Does an artificial intelligence approach improve the early prediction of cardiac arrest compared to traditional methods?
Systematic Review
Does an artificial intelligence approach improve the early prediction of cardiac arrest compared to traditional methods?
Artificial intelligence approaches show promise in improving the early prediction of sudden cardiac arrest over traditional methods.
Answers are grounded in this paper and cite their sources.
AI may enhance SCA risk stratification in practice; confirms AI superiority over traditional methods via systematic evidence.
Now a days Sudden Cardiac Death become a major problem in the healthcare field. Due to sudden cardiac arrest, the probability of survival of a person is very low. An early prediction of cardiac arrest can help to increase the survival rate of a person so that necessary treatment can be started as soon as possible. In recent times traditional methods have been used for the prediction of sudden cardiac arrest. But nowadays artificial intelligence approach has been used for the early prediction of cardiac arrest on a complex dataset which provides a remarkable result than the traditional method. An exploratory review on Sudden cardiac arrest has been carried out through IEEE explorer, Elsevier, Google Scholar, Springer Link and Science Direct database. These reviews have been done between the years 2015 and 2022.
No takes yet. Share an insight, caveat, or question.
Raj et al. (2022) conducted a systematic review in Sudden Cardiac Arrest. Artificial Intelligence vs. Traditional methods was evaluated on Prediction of sudden cardiac arrest. Artificial intelligence approaches for the early prediction of sudden cardiac arrest on complex datasets provide remarkable results compared to traditional methods.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: