Use of Handheld Ultrasound Device with Artificial Intelligence for Evaluation of Cardiorespiratory System in COVID-19

BACKGROUND: Coronavirus disease-2019 (COVID-19) causes various cardiopulmonary manifestations. Bedside ultrasound helps in the rapid diagnosis of these manifestations. Vscan Extend™ (GE, Wauwatosa, WI, USA) is a handheld ultrasound device with a dual probe and an artificial intelligence application to detect ejection fraction. It can help in reducing the time for diagnosis, duration, and the number of healthcare workers exposed to COVID-19. This is a prospective observational study comparing the cardiorespiratory parameters and time duration for assessment between Vscan Extend™ and the conventional ultrasound machine. MATERIALS AND METHODS: Paired observations were made in 96 COVID-19 patients admitted to the intensive care unit by two intensivists. Intensivist A used the Vscan Extend™ device to assess the cardiac function, lung fields, diaphragm, deep veins, and abdomen. Intensivist B used clinical examination, X-ray chest, ECG, and conventional echocardiogram for assessment. The agreement between the findings and the time duration required in both the methods was compared. RESULTS: The use of handheld ultrasound has significantly decreased the duration of bedside examination of patients than the conventional method. The median duration of examination using handheld ultrasound was 9 (8.0–11.0) minutes, compared to 20 (17–22) minutes with the conventional method (P < 0.001). The Cohen's kappa coefficient was 1.0 for left ventricular systolic function, most of the lung fields, and diaphragmatic movement. CONCLUSION: Vscan Extend™ helps in the rapid identification and diagnosis of cardiopulmonary manifestations in COVID-19 patients. The agreement between the handheld device and the conventional method proves its efficacy and safety. CTRI NUMBER: CTRI/2020/07/026701 HOW TO CITE THIS ARTICLE: Maheshwarappa HM, Mishra S, Kulkarni AV, Gunaseelan V, Kanchi M. Use of Handheld Ultrasound Device with Artificial Intelligence for Evaluation of Cardiorespiratory System in COVID-19. J Crit Care Med 2021;25(5):524–527.