AI task-shifting for echocardiographic LVEF assessment in Singapore: an economic evaluation

ESC Heart Failure 2026 Open access

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Authors: Aprajita Kaushik, S. M. N. Arosha Senanayake, Sanjeewa Kularatna, Khung-Keong Yeo, Nicholas Graves, C S P Lam, Huang WeiTing, Chanchal Chandramouli, Jasper Tromp
DOI: 10.1093/eschf/xvag069
Cited by: 1
References: 15

Abstract

BACKGROUND: Accurate assessment of left ventricular ejection fraction (LVEF) is crucial for heart failure (HF) diagnosis but requires skilled sonographers. Artificial intelligence-enabled point-of-care (AI-POC) devices may enable novices to assess LVEF, potentially reducing healthcare costs. We conducted a cost-minimization analysis comparing conventional sonographer-performed echocardiography versus novice-operated AI-POC devices. METHODS: Using a decision tree model, we compared the costs of diagnosing LVEF

Fields of Study & Subjects

Ultrasound in Clinical Applications Cardiovascular Function and Risk Factors Congenital Heart Disease Studies

Publication details

Journal / source
ESC Heart Failure
Publisher
Oxford University Press (OUP)
Volume
13
Issue
3
Publication date
4 March 2026
Language
EN