Does fully automated artificial intelligence assessment closely mimic human measurement and improve the reproducibility of aortic stenosis severity adjudication?
Application of AI technology in echocardiography may minimize interscan variability and allow for precise, reproducible identification of aortic stenosis.
Artificial neural networks have the capacity to closely mimic human measurement of all relevant parameters in the adjudication of AS severity. Application of this AI technology may minimize interscan variability, improve interpretation and diagnosis of AS, and allow for precise and reproducible identification and management of patients with AS.
Krishna et al. (2023) studied this question.