Volume 29, Issue 156, February 2025

Advancing cardiac care: The role of Artificial Intelligence in modern echocardiography - A review

Anita Król^1♦, Jakub Pudźwa², Kamil Gibczyński¹, Aleksandra Roztoczyńska², Aleksandra Jeńć-Magoń², Martyna Orzechowska², Karolina Jabłońska², Piotr Paluch², Karol Leśniewski², Michał Orczyk²

¹Fryderyk Chopin University Clinical Hospital in Rzeszów, ul. Fryderyka Szopen 2, 35-055 Rzeszów, Poland
²College of Medical Sciences, University of Rzeszów Tadeusza Rejtana 16c Ave, 35-310 Rzeszów, Poland

^♦Corresponding Author
Fryderyk Chopin University Clinical Hospital in Rzeszów, ul. Fryderyka Szopen 2, 35-055 Rzeszów, Poland

ABSTRACT

Echocardiography is one of the most accessible and versatile tools in cardiac imaging. It offers excellent diagnostic value for a wide range of cardiovascular diseases. However, the dependence on operator skill and the long time required to take and interpret measurements correctly can limit its efficiency. Artificial intelligence (AI), through machine learning (ML) and deep learning (DL), promises a solution to these challenges. It can assist in image acquisition, interpretation, analysis, and diagnostics and be used to train expert and novice clinicians. Despite the potential of AI-assisted echocardiography, many weaknesses remain, including small and non-diverse datasets used in research studies, the "black-box" nature of DL algorithms, and ethical concerns. With further research, AI has the potential to streamline echocardiographic workflows, enhance diagnostic precision, and make cardiovascular care more accessible and efficient.

Keywords: Echocardiography, artificial intelligence, cardiovascular diagnostics, deep learning, machine learning

Medical Science, 2025, 29, e27ms3523

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DOI: https://doi.org/10.54905/disssi.v29i156.e27ms3523

Published: 07 February 2025