Evidence map›Paper›PMID 33912594›Full record

ArticleFrontiers in robotics and AI2021

A Flexible Transoral Robot Towards COVID-19 Swab Sampling.

Changsheng Li, Xiaoyi Gu, Xiao Xiao, Chwee Ming Lim, Xingguang Duan, Hongliang Ren

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Changsheng LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Xiaoyi GuDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
Xiao XiaoDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.
Chwee Ming LimDepartment of Otolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore, Singapore.
Xingguang DuanSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Hongliang RenDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are high risks of infection for surgeons during the face-to-face COVID-19 swab sampling due to the novel coronavirus's infectivity. To address this issue, we propose a flexible transoral robot with a teleoperated configuration for swab sampling. The robot comprises a flexible manipulator, an endoscope with a monitor, and a master device. A 3-prismatic-universal (3-PU) flexible parallel mechanism with 3 degrees of freedom (DOF) is used to realize the manipulator's movements. The flexibility of the manipulator improves the safety of testees. Besides, the master device is similar to the manipulator in structure. It is easy to use for operators. Under the guidance of the vision from the endoscope, the surgeon can operate the master device to control the swab's motion attached to the manipulator for sampling. In this paper, the robotic system, the workspace, and the operation procedure are described in detail. The tongue depressor, which is used to prevent the tongue's interference during the sampling, is also tested. The accuracy of the manipulator under visual guidance is validated intuitively. Finally, the experiment on a human phantom is conducted to demonstrate the feasibility of the robot preliminarily.

Indexed as

COVID-19Flexible parallel mechanismFlexible robotmedical roboticssampling robotsurgical roboticsswab samplingtransoral robot

Identifiers

PMID33912594
PMCPMC8072391

What OpenQuestion holds

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Registered trials

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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.