Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time

• DOI: 10.1007/s12574-023-00636-6
• Publication Date: 2024-02-03T14:02:27Z
• Authors: Yukina Hirata; Yuka Nomura; Yoshihito Saijo; Masataka Sata; Kenya Kusunose
• Keywords: DICOM; Automated method

Abstract Background Manual interpretation of echocardiographic data is time-consuming and operator-dependent. With the advent artificial intelligence (AI), there a growing interest in its potential to streamline reduce variability. This study aimed compare time taken for measurements by AI that human experts after converting acquired dynamic images into DICOM data. Methods Twenty-three consecutive patients were examined single operator, with varying image quality different medical conditions. Echocardiographic parameters independently evaluated expert using manual method fully automated US2.ai software. The processes facilitated software encompass real-time processing 2D Doppler data, measurement clinically important variables (such as LV function geometry), parameter assessment, report generation findings comments aligned guidelines. We assessed duration required creation. Results significantly reduced compared (159 ± 66 vs. 325 94 s, p < 0.01). In creation step, was also faster (71 39 429 128 incorporation analysis led 70% reduction methods. cases fair or poor quality, more corrections extended than good quality. Report longer increased complexity due confirmation AI-generated findings. Conclusions has serve an efficient tool analysis, offering results enhance clinical workflow providing rapid, zero-click reports, thereby adding significant value.