ArticleIEEE robotics and automation letters2021
Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients.
Article in IEEE robotics and automation letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Live teleultrasound for evaluation of the chest: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- On the interception of the optimal imaging plane for pleural line scanning with automatic robot assisted lung ultrasound: An experimental study.The ultrasound journal · 2026Article
- Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.JAMA cardiology · 2025Article
- Robotic Ultrasound Scanning End-Effector with Adjustable Constant Contact Force.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Lung ultrasound among Expert operator'S: ScOring and iNter-rater reliability analysis (LESSON study) a secondary COWS study analysis from ITALUS group.Journal of anesthesia, analgesia and critical care · 2024Article
- A fully autonomous robotic ultrasound system for thyroid scanning.Nature communications · 2024Article
- Comparison of telerobotic and conventional ultrasonography in children: a crossover bicentric pilot study.Translational pediatrics · 2023Article
- Diagnostic posture control system for seated-style echocardiography robot.International journal of computer assisted radiology and surgery · 2023Article
- Suppression of Clothing-Induced Acoustic Attenuation in Robotic Auscultation.Sensors (Basel, Switzerland) · 2023Article
- A-SEE: Active-Sensing End-effector Enabled Probe Self-Normal-Positioning for Robotic Ultrasound Imaging Applications.IEEE robotics and automation letters · 2022Article
- Review on the COVID-19 pandemic prevention and control system based on AI.Engineering applications of artificial intelligence · 2022Review
- Anatomical Feature-Based Lung Ultrasound Image Quality Assessment Using Deep Convolutional Neural Network.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2021Article
- An Improved Sensing Method of a Robotic Ultrasound System for Real-Time Force and Angle Calibration.Sensors (Basel, Switzerland) · 2021Article
- Robots Under COVID-19 Pandemic: A Comprehensive Survey.IEEE access : practical innovations, open solutions · 2021Article
- Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and SystemsArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns surrounding LUS include the disparity of infected patients and healthcare providers, and importantly, the requirement for substantial physical contact between the patient and operator, increasing the risk of transmission. New variants of COVID-19 will continue to emerge; therefore, mitigation of the virus's spread is of paramount importance. A tele-operative robotic ultrasound platform capable of performing LUS in COVID-19 infected patients may be of significant benefit, especially in low- and middle-income countries. The authors address the issues mentioned above surrounding the use of LUS in COVID-19 infected patients and the potential for extension of this technology in a resource-limited environment. Additionally, first-time application, feasibility, and safety were validated in healthy subjects. Preliminary results demonstrate that our platform allows for the successful acquisition and application of robotic LUS in humans.
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Registered trials
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