Key result
AI models for inherited heart disease achieve diagnostic and predictive AUCs up to 0.96.
Why the study?
The number of inherited heart disease studies using artificial intelligence has increased rapidly, prompting an overview of available literature on its clinical applicability.
What is the current clinical applicability and performance of artificial intelligence models for patients with inherited heart disease?
What is the current clinical applicability and performance of artificial intelligence models for patients with inherited heart disease?
While AI models show high diagnostic and predictive performance (AUC 0.78-0.96) in inherited heart disease, their clinical applicability is currently limited by a lack of external validation and explainability.
Answers are grounded in this paper and cite their sources.
Promising AUCs await external validation and explainability; leaves open clinical adoption in inherited heart disease.
The number of inherited heart disease (IHD) studies using artificial intelligence (AI) has increased rapidly over the last years. In this scoping review, we aimed to present an overview of the current literature available on the applicability of AI within the field of IHD. The literature search resulted in eighteen articles in which an AI model was trained and tested, mostly for diagnostic and predictive purposes. The areas under the receiver operating characteristic curves ranged from 0.78-0.96, but varied between IHD types, used methods and outcome measures. Only three out of eighteen did perform validation on an external dataset and most studies did not use explainable deep learning models. To be able to integrate AI as a tool to aid physicians in their diagnoses and clinical decisions within the IHD field, generalizability has to be better evaluated and explainability of DL models has to be increased.
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Bleijendaal et al. (2022) conducted a review in Inherited heart disease (n=18). Artificial intelligence was evaluated on Diagnostic and predictive performance (AUC) (AUC 0.78-0.96). Artificial intelligence models for inherited heart disease demonstrated diagnostic and predictive areas under the receiver operating characteristic curves ranging from 0.78 to 0.96.
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