Artificial intelligence fully automated analysis of handheld echocardiography in real-world patients with suspected heart failure.

ABSTRACT:

Aims

Echocardiography is a rate-limiting step in the timely diagnosis of heart failure (HF). Automated reporting of echocardiograms has the potential to streamline workflow. The aim of this study was to test the diagnostic accuracy of fully automated artificial intelligence (AI) analysis of images acquired using handheld echocardiography and its interchangeability with expert human-analysed cart-based echocardiograms in a real-world cohort with suspected HF.

Methods and results

In this multicentre, prospective, observational study, patients with suspected HF had two echocardiograms: one handheld portable and one cart-based scan. Both echocardiograms were analysed using fully automated AI software and by human expert sonographers. The primary endpoint was the diagnostic accur

SUBMITTER: Campbell RT 

PROVIDER: S-EPMC12803686 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature