Evidence map›Paper›PMID 33628614›Full record

ArticleIEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation2019

Autonomous Laparoscopic Robotic Suturing with a Novel Actuated Suturing Tool and 3D Endoscope.

H Saeidi, H N D Le, J D Opfermann, S Leonard, A Kim, M H Hsieh, J U Kang, A Krieger

Open access · greenAbstract read
In one paragraph

Article in IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  4. Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy.International journal of computer assisted radiology and surgery · 2025
    Article
  5. Review
  6. Review
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  10. Article
  11. Vaginal Cuff Closure with Dual-Arm Robot and Near-Infrared Fluorescent Sutures.IEEE transactions on medical robotics and bionics · 2021
    Article
  12. Review
  13. Article
  14. Semi-autonomous Robotic Anastomoses of Vaginal Cuffs Using Marker Enhanced 3D Imaging and Path Planning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019
    Article
  15. A Confidence-Based Supervised-Autonomous Control Strategy for Robotic Vaginal Cuff Closure.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    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 at 4 institutions in 1 country.

H SaeidiDepartment of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA.
H N D LeElectrical and Computer Science Engineering Department, Johns Hopkins University, Baltimore, MD 21211.
J D OpfermannSheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.
S LeonardElectrical and Computer Science Engineering Department, Johns Hopkins University, Baltimore, MD 21211.
A KimUniversity of Maryland School of Medicine, 655 W Baltimore S, Baltimore, MD 21201.
M H HsiehSheikh Zayed Institute for Pediatric Surgical Innovation, Childrens National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.
J U KangElectrical and Computer Science Engineering Department, Johns Hopkins University, Baltimore, MD 21211.
A KriegerDepartment of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA.
Johns Hopkins University · USUniversity of Maryland, College Park · USChildren's National · USUniversity of Maryland, Baltimore · US

Funding

Patient specific 3D printed tissue engineered vascular graft for aortic reconstruction designed by artificial intelligence algorithm.R01HL143468 · NHLBI · UNIVERSITY OF CHICAGO · PI FUGE, MARK, HIBINO, NARUTOSHI · 2018 to 2021
$2.7M
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
NHLBI NIH HHS R01 HL143468NIBIB NIH HHS R01 EB020610
6 · The paper itself

Abstract

Compared to open surgical techniques, laparoscopic surgical methods aim to reduce the collateral tissue damage and hence decrease the patient recovery time. However, constraints imposed by the laparoscopic surgery, i.e. the operation of surgical tools in limited spaces, turn simple surgical tasks such as suturing into time-consuming and inconsistent tasks for surgeons. In this paper, we develop an autonomous laparoscopic robotic suturing system. More specific, we expand our smart tissue anastomosis robot (STAR) by developing i) a new 3D imaging endoscope, ii) a novel actuated laparoscopic suturing tool, and iii) a suture planning strategy for the autonomous suturing. We experimentally test the accuracy and consistency of our developed system and compare it to sutures performed manually by surgeons. Our test results on suture pads indicate that STAR can reach 2.9 times better consistency in suture spacing compared to manual method and also eliminate suture repositioning and adjustments. Moreover, the consistency of suture bite sizes obtained by STAR matches with those obtained by manual suturing.

Identifiers

PMID33628614
PMCPMC7901147
OpenAlexW2966907449

What OpenQuestion holds

Textmetadata
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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.