Key result
Artificial intelligence enhances the capability of cardiovascular imaging modalities in managing acute coronary syndrome by improving diagnostic accuracy and predicting outcomes.
Why the study?
ACS remains the leading cause of cardiac death, and artificial intelligence has emerged as a means to enhance cardiovascular imaging capabilities and clinical decision-making.
Artificial intelligence algorithms significantly improve the diagnostic accuracy and prognostic prediction of various cardiovascular imaging modalities in managing acute coronary syndrome.
May support AI-assisted ACS imaging; leaves open prospective validation before practice change.
Acute coronary syndrome is the leading cause of cardiac death and has a significant impact on patient prognosis. Early identification and proper management are key to ensuring better outcomes and have improved significantly with the development of various cardiovascular imaging modalities. Recently, the use of artificial intelligence as a method of enhancing the capability of cardiovascular imaging has grown. AI can inform the decision-making process, as it enables existing modalities to perform more efficiently and make more accurate diagnoses. This review demonstrates recent applications of AI in cardiovascular imaging to facilitate better patient care.
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Liu et al. (2022) conducted a review in Acute Coronary Syndrome. Artificial Intelligence was evaluated. Artificial intelligence enhances the capability of cardiovascular imaging modalities in managing acute coronary syndrome by improving diagnostic accuracy and predicting outcomes.
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