Evidence map›Paper›PMID 36970042›Full record

ArticleIEEE transactions on medical robotics and bionics2021

Vaginal Cuff Closure with Dual-Arm Robot and Near-Infrared Fluorescent Sutures.

Simon Leonard, Justin Opfermann, Nicholas Uebele, Lydia Carroll, Ryan Walter, Christopher Bayne, Jiawei Ge, Axel Krieger

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Simon LeonardLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Justin OpfermannDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Nicholas UebeleEpic Systems Corporation, Verona, WI, USA.
Lydia CarrollRotary Mission Systems, Lockheed Martin, Mount Laurel, NJ, USA.
Ryan WalterSURVICE Engineering, Belcamp, MD, USA.
Christopher BayneDepartment of Urology, University of Florida, Gainesville, FL, USA.
Jiawei GeDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Axel KriegerDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.

Funding

Next Generation of Surgical Imaging and Robotics for Supervised Autonomous Soft Tissue SurgeryR01EB020610 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI HSIEH, MICHAEL HARRISON, KANG, JIN U · 2016 to 2019
$1.5M
NIBIB NIH HHS R01 EB020610
6 · The paper itself

Abstract

This paper presents a dual-arm suturing robot. We extend the Smart Tissue Autonomous Robot (STAR) with a second robot manipulator, whose purpose is to manage loose suture thread, a task that was previously executed by a human assistant. We also introduce novel near-infrared fluorescent (NIRF) sutures that are automatically segmented and delimit the boundaries of the suturing task. During ex-vivo experiments of porcine models, our results demonstrate that this new system is capable of outperforming human surgeons in all but one metric for the task of vaginal cuff closure (porcine model) and is more consistent in every aspect of the task. We also present results to demonstrate that the system can perform a vaginal cuff closure during an in-vivo experiment (porcine model).

Indexed as

Medical roboticsrobot-assisted surgeryvision-guided laparoscopic suturing

Identifiers

PMID36970042
PMCPMC10038549

What OpenQuestion holds

Textmetadata
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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.