Evidence map›Paper›PMID 36904653›Full record

ArticleSensors (Basel, Switzerland)2023

Development of a Real-Time 6-DOF Motion-Tracking System for Robotic Computer-Assisted Implant Surgery.

Minki Sin, Jang Ho Cho, Hyukjin Lee, Kiyoung Kim, Hyun Soo Woo, Ji-Man Park

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Minki SinDepartment of Medical Robotics, Korea Institute of Machinery & Materials, Daegu 42994, Republic of Korea.ORCID 0000-0001-8728-4197
Jang Ho ChoDepartment of Medical Robotics, Korea Institute of Machinery & Materials, Daegu 42994, Republic of Korea.ORCID 0000-0003-3268-960X
Hyukjin LeeDepartment of Medical Robotics, Korea Institute of Machinery & Materials, Daegu 42994, Republic of Korea.
Kiyoung KimDepartment of Medical Robotics, Korea Institute of Machinery & Materials, Daegu 42994, Republic of Korea.ORCID 0000-0003-3700-6599
Hyun Soo WooDepartment of Medical Robotics, Korea Institute of Machinery & Materials, Daegu 42994, Republic of Korea.ORCID 0000-0002-9796-9074
Ji-Man ParkDepartment of Prosthodontics & Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea.ORCID 0000-0003-0018-1166

Funding

Korea Institute of Machinery and Materials NK244DMinistry of Trade, Industry and Energy 20007888Ministry of Trade, Industry and Energy 20014480
6 · The paper itself

Abstract

In this paper, we investigate a motion-tracking system for robotic computer-assisted implant surgery. Failure of the accurate implant positioning may result in significant problems, thus an accurate real-time motion-tracking system is crucial for avoiding these issues in computer-assisted implant surgery. Essential features of the motion-tracking system are analyzed and classified into four categories: workspace, sampling rate, accuracy, and back-drivability. Based on this analysis, requirements for each category have been derived to ensure that the motion-tracking system meets the desired performance criteria. A novel 6-DOF motion-tracking system is proposed which demonstrates high accuracy and back-drivability, making it suitable for use in computer-assisted implant surgery. The results of the experiments confirm the effectiveness of the proposed system in achieving the essential features required for a motion-tracking system in robotic computer-assisted implant surgery.

Indexed as

RoboticsRobotic Surgical ProceduresSurgery, Computer-AssistedComputersMotionAgile Eyeback-drivabilitydental surgerymotion-tracking systemrobotic computer-assisted implant surgery

Identifiers

PMID36904653
PMCPMC10007561

What OpenQuestion holds

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LicenceCC BY
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Read underepoch 390

Registered trials

None linked

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.