Key result
Artificial intelligence has the potential to improve the accuracy of diagnosis, clinical management, and patient care in echocardiography.
Why the study?
Echocardiographic analysis remains strongly dependent on operator experience with inter- and intra-observer variability and diagnostic errors, creating a need to evaluate the potential of artificial intelligence to improve image interpretation.
Artificial intelligence has the potential to revolutionize echocardiography by automating image analysis and improving diagnostic accuracy, though integration into clinical practice requires overcoming data and algorithmic transparency challenges.
Echocardiography has a central role in the diagnosis and management of cardiovascular disease. Precise and reliable echocardiographic assessment is required for clinical decision-making. Even if the development of new technologies (3-dimentional echocardiography, speckle-tracking, semi-automated analysis, etc.), the final decision on analysis is strongly dependent on operator experience. Diagnostic errors are a major unresolved problem. Moreover, not only can cardiologists differ from one another in image interpretation, but also the same observer may come to different findings when a reading is repeated. Daily high workloads in clinical practice may lead to this error, and all cardiologists require precise perception in this field. Artificial intelligence (AI) has the potential to improve analysis and interpretation of medical images to a new stage compared with previous algorithms. From our comprehensive review, we believe AI has the potential to improve accuracy of diagnosis, clinical management, and patient care. Although there are several concerns about the required large dataset and "black box" algorithm, AI can provide satisfactory results in this field. In the future, it will be necessary for cardiologists to adapt their daily practice to incorporate AI in this new stage of echocardiography.
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Kusunose et al. (2019) conducted a review in Cardiovascular disease. Artificial Intelligence vs. Conventional manual analysis was evaluated. Artificial intelligence has the potential to improve the accuracy of diagnosis, clinical management, and patient care in echocardiography.
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