1. Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF).
- Author
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Huang W, Koh T, Tromp J, Chandramouli C, Ewe SH, Ng CT, Lee ASY, Teo LLY, Hummel Y, Huang F, and Lam CSP
- Subjects
- Humans, Female, Male, Middle Aged, Aged, Prospective Studies, Stroke Volume, Mass Screening methods, Heart Failure diagnostic imaging, Heart Failure diagnosis, Echocardiography methods, Point-of-Care Systems, Artificial Intelligence
- Abstract
The increasing prevalence of heart failure (HF) in ageing populations drives demand for echocardiography (echo). There is a worldwide shortage of trained sonographers and long waiting times for expert echo. We hypothesised that artificial intelligence (AI)-enhanced point-of-care echo can enable HF screening by novices. The primary endpoint was the accuracy of AI-enhanced novice pathway in detecting reduced LV ejection fraction (LVEF) < 50%. Symptomatic patients with suspected HF (N = 100, mean age 61 ± 15 years, 56% men) were prospectively recruited. Novices with no prior echo experience underwent 2-weeks' training to acquire echo images with AI guidance using the EchoNous Kosmos handheld echo, with AI-automated reporting by Us2.ai (AI-enhanced novice pathway). All patients also had standard echo by trained sonographers interpreted by cardiologists (reference standard). LVEF < 50% by reference standard was present in 27 patients. AI-enhanced novice pathway yielded interpretable results in 96 patients and took a mean of 12 min 51 s per study. The area under the curve (AUC) of the AI novice pathway was 0.880 (95% CI 0.802, 0.958). The sensitivity, specificity, positive predictive and negative predictive values of the AI-enhanced novice pathway in detecting LVEF < 50% were 84.6%, 91.4%, 78.5% and 94.1% respectively. The median absolute deviation of the AI-novice pathway LVEF from the reference standard LVEF was 6.03%. AI-enhanced novice pathway holds potential to task shift echo beyond tertiary centres and improve the HF diagnostic workflow., (© 2024. The Author(s).)
- Published
- 2024
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