Evidence map›Paper›PMID 34027062›Full record

ArticleIEEE robotics and automation letters2021

A Soft Robotic Sleeve for Safer Colonoscopy Procedures.

Max McCandless, Arincheyan Gerald, Ashlyn Carroll, Hiroyuki Aihara, Sheila Russo

Open access · greenAbstract read
In one paragraph

Article in IEEE robotics and automation letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 40 citations in OpenAlex.

  1. AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  7. Review
  8. Review
  9. A Soft Sensor for Bleeding Detection in Colonoscopies.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2022
    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

5 authors at 2 institutions in 1 country.

Max McCandlessMechanical Engineering Department, Boston University, Boston, MA 02215 USA.
Arincheyan GeraldMechanical Engineering Department, Boston University, Boston, MA 02215 USA.
Ashlyn CarrollMechanical Engineering Department, Boston University, Boston, MA 02215 USA.
Hiroyuki AiharaBrigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
Sheila RussoMechanical Engineering Department, Boston University, Boston, MA 02215 USA.
Boston University · USBrigham and Women's Hospital · US

Funding

A Soft Robotic Sleeve to Enable Safer and Easier Colonoscopy ProceduresR21EB029154 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI AIHARA, HIROYUKI, RUSSO, SHEILA · 2020 to 2020
$683k
NIBIB NIH HHS R21 EB029154
6 · The paper itself

Abstract

Colonoscopy is the gold standard for colorectal cancer diagnosis; however, limited instrument dexterity and no sensor feedback can hamper procedure safety and acceptance. We propose a soft robotic sleeve to provide sensor feedback and additional actuation capabilities to improve safety during navigation in colonoscopy. The robot can be mounted around current endoscopic instrumentation as a disposable "add-on", avoiding the need for dedicated or customized instruments and without disrupting current surgical workflow. We focus on design, finite element analysis, fabrication, and experimental characterization and validation of the soft robotic sleeve. The device integrates soft optical sensors to monitor contact interaction forces between the colon and the colonoscope and soft robotic actuators that can be automatically deployed if excessive force is detected, to guarantee pressure redistribution on a larger contact area of the colon. The system can be operated by a surgeon via a graphic user interface that displays contact force values and enables independent or coordinated pressurization of the soft actuators upon demand, in case deemed necessary to aid navigation or distend colon tissue.

Indexed as

Medical Robots and SystemsSoft Robot ApplicationsSoft Robot Materials and DesignSoft Sensors and Actuators

Identifiers

PMID34027062
PMCPMC8132950
OpenAlexW3153184197

What OpenQuestion holds

Textmetadata
LicenceTDM
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.