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Background Transthoracic echocardiography (TTE) is a widely-used method of obtaining a broad assessment of cardiac status, including cardiac chambers, myocardium and valves in a single bedside test. However, availability of trained cardiac physiologists (CP), as well as competition for available resources due to demand for testing, can limit accessibility for patients and potentially delay diagnosis.Aims To assess whether the use of an AI-driven software programme uploaded onto a standard TTE machine would allow a relatively UNTRAINED operator perform diagnostic-quality TTE studies in an unselected community cardiology population, thus potentially allowing greater access in community sites to rapid diagnostic and prognostic information.Methods Caption Guidance (GE Healthcare, Chicago USA) is a software programme which guides an operator through performing a standard 10-view echocardiographic study. 2D cine images only are obtained, without facility for colour mapping, doppler, or M-mode assessment. An automated left ventricular ejection fraction (LVEF) is calculated from long axis cine sequences. Recruitment was performed at a single site (St Vincent’s University Hospital). Inclusion criteria were anyone over the age of 18 years referred for echocardiogram. Exclusion criteria included those specifically being referred for valve or murmur assessment. The primary endpoint was whether the AI-guided TTE study sufficiently answered the clinical question in the referral information provided by the referring physician.Results 250 patients were included. Timestamp analysis indicated an median time taken to complete the study from first to final acquisition of 11 minutes (excluding patient registration, setup and positioning). The question by the referring clinician (e.g. presence of heart failure changes) was satisfactorily answered in approximately 85% of cases.Conclusion AI-guided TTE is an easily adoptable tool which provides quick, reliable and clinically useful information in a community cardiology population. It may represent a solution to increased demands on healthcare resources in Ireland.Abstract 53 Figure 1Abstract 53 Figure 2