Abstract

FALCONI, Mariano L. et al. Artificial Intelligence in Cardiovascular Imaging and Cardiovascular Prevention. Rev. argent. cardiol. [online]. 2024, vol.92, n.1, pp.55-63.  Epub Feb 28, 2024. ISSN 1850-3748.  http://dx.doi.org/10.7775/rac.es.v92.i1.20727.

Artificial intelligence (AI) is based on computer programs that imitate human thinking and automate certain processes. Artificial intelligence has been studied in the medical field for over 50 years, but in recent years, its growth has been exponential. The field of cardiovascular imaging is particularly attractive since AI can guide non-experts in image acquisition, automate processes and measurements, guide diagnoses, detect findings not visible to the human eye, make opportunistic diagnoses of unexpected conditions in the index test, or identify patterns of association within a large amount of data as a source of hypothesis generation. In the field of cardiovascular prevention, AI has been used for diagnostic, prognostic, and therapeutic purposes in managing cardiovascular risk factors such as dyslipidemia and hypertension. While there are limitations to the use of AI, such as cost, accessibility, compatibility of programs, external validity of results in certain populations, and ethical-legal aspects such as data privacy, this technology is rapidly growing and is likely to revolutionize current medical practice.

Keywords : Images; Cardiovascular prevention; Artificial intelligence; Machine learning.

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