ArticleChest2021
Feasibility of a 5G-Based Robot-Assisted Remote Ultrasound System for Cardiopulmonary Assessment of Patients With Coronavirus Disease 2019.
Article in Chest, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Live teleultrasound for evaluation of the chest: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Use of Robots in Critical Care: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Ultrasound findings of lung ultrasonography in COVID-19: A systematic review.European journal of radiology · 2022Pooled it
- Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Feasibility of remote robot empowered teleultrasound scanning for radioactive patients.Scientific reports · 2025Trial
- Effectiveness and feasibility of 5G-based remote interactive ultrasound training in critical care.BMC medical education · 2024Trial
- Telemedicine and 5G Technologies: A Systematic Global Review of Applications over the Past Decade.Bioengineering (Basel, Switzerland) · 2026Review
- Advances and Opportunities in NIR-II Endoscopy: From Diagnosis to Therapeutic Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Development and clinical validation of an artificial intelligence based model for thyroid nodule malignancy risk assessment using C-TIRADS guidelines.Frontiers in medicine · 2026Article
- Performance and development trends of ultrasound diagnostic systems in military settings: a review.The ultrasound journal · 2025Review
- Surgery without distance: will 5G-based robot-assisted telesurgery redefine modern surgery?Translational lung cancer research · 2025Review
- Intelligent handheld ultrasound improving the ability of non-expert general practitioners in carotid examinations for community populations: a prospective and parallel controlled trial.Ultrasonography (Seoul, Korea) · 2025Article
- Pulmonary ultrasound in COVID-19 and non-COVID-19 pneumonia in South Africa: An observational study.African journal of thoracic and critical care medicine · 2025Article
- Feasibility and Safety of Percutaneous Puncture Guided by a 5G-Based Telerobotic Ultrasound System: An Experimental Study.Cardiovascular and interventional radiology · 2024Article
- A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients.Abdominal radiology (New York) · 2024Article
- Design and testing of ultrasound probe adapters for a robotic imaging platform.Scientific reports · 2024Article
- Article
- Development and External Validation of an Artificial Intelligence-Based Method for Scalable Chest Radiograph Diagnosis: A Multi-Country Cross-Sectional Study.Research (Washington, D.C.) · 2024Article
- Telerobotic Versus Standard Ultrasound in the Assessment of the Abdomen and Pelvis: A Real-World Prospective Study.International journal of telemedicine and applications · 2024Article
- Satisfaction analysis of 5G remote ultrasound robot for diagnostics based on a structural equation model.Frontiers in robotics and AI · 2024Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTraditional methods for cardiopulmonary assessment of patients with coronavirus disease 2019 (COVID-19) pose risks to both patients and examiners. This necessitates a remote examination of such patients without sacrificing information quality. RESEARCH QUESTION: The goal of this study was to assess the feasibility of a 5G-based robot-assisted remote ultrasound system in examining patients with COVID-19 and to establish an examination protocol for telerobotic ultrasound scanning. STUDY DESIGN AND
methodsTwenty-three patients with COVID-19 were included and divided into two groups. Twelve were nonsevere cases, and 11 were severe cases. All patients underwent a 5G-based robot-assisted remote ultrasound system examination of the lungs and heart following an established protocol. Distribution characteristics and morphology of the lung and surrounding tissue lesions, left ventricular ejection fraction, ventricular area ratio, pericardial effusion, and examination-related complications were recorded. Bilateral lung lesions were evaluated by using a lung ultrasound score.
resultsThe remote ultrasound system successfully and safely performed cardiopulmonary examinations of all patients. Peripheral lung lesions were clearly evaluated. Severe cases of COVID-19 had significantly more diseased regions (median [interquartile range], 6.0 [2.0-11.0] vs 1.0 [0.0-2.8]) and higher lung ultrasound scores (12.0 [4.0-24.0] vs 2.0 [0.0-4.0]) than nonsevere cases of COVID-19 (both, P < .05). One nonsevere case (8.3%; 95% CI, 1.5-35.4) and three severe cases (27.3%; 95% CI, 9.7-56.6) were complicated by pleural effusions. Four severe cases (36.4%; 95% CI, 15.2-64.6) were complicated by pericardial effusions (vs 0% of nonsevere cases, P < .05). No patients had significant examination-related complications.
interpretationUse of the 5G-based robot-assisted remote ultrasound system is feasible and effectively obtains ultrasound characteristics for cardiopulmonary assessment of patients with COVID-19. By following established protocols and considering medical history, clinical manifestations, and laboratory markers, this system might help to evaluate the severity of COVID-19 remotely.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.