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Case Report | Open Access

Robot-assisted Teleultrasound Assessment of Cardiopulmonary Function on a Patient with Confirmed COVID-19 in a Cabin Hospital

Shengzheng Wua,1, Keyan Lia,1, Ruizhong Yeb, Yuehua Luc, Jufen Xud, Linfei Xionge, Ailin Cuib, Yaqing Lif, Chengzhong Pengb( ), Faqin Lva( )
Department of Ultrasound, Hainan Hospital of PLA General Hospital, Sanya, China
Department of Ultrasound, Zhejiang Provincial People's Hospital of Hangzhou Medical College, Hangzhou, China
Department of Ultrasound, Tongxiang First People's Hospital, Tongxiang, China
Department of Infection, Tongxiang First People's Hospital, Tongxiang, China
BGI-Shenzhen, Shenzhen, China
Department of Respiratory Medicine, Zhejiang Provincial People's Hospital of Hangzhou Medical College, Hangzhou, China

1 Co-first authors

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Abstract

Real-time ultrasound imaging has been used for the evaluation of pulmonary abnormalities and other complications during the outbreak of COVID-19. However, conventional ultrasound examination requires operators to conduct scanning either in the examination room or patient ward, which may increase the potential infective risk. Tele-operated ultrasound robotics can provide a unique technique for doctors to remotely scan patients. During the COVID-19 pandemic, we attempted to apply a 5G network-based scanning robot to conduct remote ultrasound examination on COVID-19 patients and to explore the feasibility of this technique for teleultrasound diagnosis and consultation during critical infectious situations.

Keywords

Robot-assistedTeleultrasoundCOVID-19PulmonaryCardiacUltrasound

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Advanced Ultrasound in Diagnosis and Therapy
Volume 4 Issue 2,
April 2020
Pages 128-130
DOI: 10.37015/AUDT.2020.200023

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Cite this article:
Wu S, Li K, Ye R, et al. Robot-assisted Teleultrasound Assessment of Cardiopulmonary Function on a Patient with Confirmed COVID-19 in a Cabin Hospital. Advanced Ultrasound in Diagnosis and Therapy, 2020, 4(2): 128-130. https://doi.org/10.37015/AUDT.2020.200023

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Received: 01 April 2020
Revised: 03 April 2020
Accepted: 07 April 2020
Published: 30 April 2020
© AUDT 2020

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.