Evidence map›Paper›PMID 36286350›Full record

ArticleJournal of imaging2022

AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future.

Josefine Schreiter, Danny Schott, Lovis Schwenderling, Christian Hansen, Florian Heinrich, Fabian Joeres

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. 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 at 1 institution in 1 country.

Josefine SchreiterFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0003-1761-8352
Danny SchottFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0002-2576-7799
Lovis SchwenderlingFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0003-4538-2201
Christian HansenFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0002-5734-7529
Florian HeinrichFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0002-8169-3157
Fabian JoeresFaculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany.ORCID 0000-0001-8105-9263
University Hospital Magdeburg · DE

Funding

Federal Ministry of Education and Research 13GW0473A
6 · The paper itself

Abstract

Robotic assistance is applied in orthopedic interventions for pedicle screw placement (PSP). While current robots do not act autonomously, they are expected to have higher autonomy under surgeon supervision in the mid-term. Augmented reality (AR) is promising to support this supervision and to enable human-robot interaction (HRI). To outline a futuristic scenario for robotic PSP, the current workflow was analyzed through literature review and expert discussion. Based on this, a hypothetical workflow of the intervention was developed, which additionally contains the analysis of the necessary information exchange between human and robot. A video see-through AR prototype was designed and implemented. A robotic arm with an orthopedic drill mock-up simulated the robotic assistance. The AR prototype included a user interface to enable HRI. The interface provides data to facilitate understanding of the robot's "intentions", e.g., patient-specific CT images, the current workflow phase, or the next planned robot motion. Two-dimensional and three-dimensional visualization illustrated patient-specific medical data and the drilling process. The findings of this work contribute a valuable approach in terms of addressing future clinical needs and highlighting the importance of AR support for HRI.

Indexed as

augmented realityconditional autonomous robotshuman–robot interactionpedicle screw placementworkflow analysis

Identifiers

PMID36286350
PMCPMC9605344
OpenAlexW4296627552

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.