Evidence map›Paper›PMID 37154830›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Versatile end effector for laparoscopic robotic scrub nurse.

Lars Wagner, Sven Kolb, Christian Looschen, Lukas Bernhard, Jonas Fuchtmann, Maximilian Berlet, Johannes Fottner, Alois Knoll, Dirk Wilhelm

Erratum issuedAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Lars Wagner *Research Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany. lars.wagner@tum.de.ORCID http://orcid.org/0000-0002-3021-4152
Sven Kolb *Research Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Christian LooschenChair of Materials Handling, Material Flow, Logistics, Technical University of Munich, Munich, Germany.
Lukas BernhardResearch Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Jonas FuchtmannResearch Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Maximilian BerletResearch Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Johannes FottnerChair of Materials Handling, Material Flow, Logistics, Technical University of Munich, Munich, Germany.
Alois KnollChair of Robotics, Artificial Intelligence and Real-Time Systems, Technical University of Munich, Munich, Germany.
Dirk WilhelmResearch Group MITI, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

Funding

Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie DIK0372
6 · The paper itself

Abstract

purposeIntegrating robotic scrub nurses in the operating room has the potential to help overcome staff shortages and limited use of available operating capacities in hospitals. Existing approaches of robotic scrub nurses are mainly focused on open surgical procedures, neglecting laparoscopic procedures. Laparoscopic interventions offer great potential for the context-sensitive integration of robotic systems due to possible standardization. However, the first step is to ensure the safe manipulation of laparoscopic instruments.

methodsA robotic platform with a universal gripper system was designed to pick up and place laparoscopic as well as da Vinci[Formula: see text] instruments in an efficient workflow. The robustness of the gripper system was studied using a test protocol, which included a force absorption test to determine the operational safety limits of the design and a grip test to determine the system performance.

resultsThe test protocol shows results regarding force and torque absorption capabilities of the end effector, which are essential when transferring an instrument to the surgeon to enable a robust handover. The grip tests show that the laparoscopic instruments can be safely picked up, manipulated and returned independent of unexpected positional deviations. The gripper system also enables the manipulation of da Vinci[Formula: see text] instruments, opening the door for robot-robot interaction.

conclusionOur evaluation tests have shown that our robotic scrub nurse with the universal gripper system can safely and robustly manipulate laparoscopic and da Vinci[Formula: see text] instruments. The system design will continue with the integration of context-sensitive capabilities.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresHand StrengthHumansMechanical PhenomenaLaparoscopic instrumentsRobotic end effectorRobotic scrub nurseSurgical robotics

Identifiers

PMID37154830
PMCPMC10491531

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.