Evidence map›Paper›PMID 33089071›Full record

ArticleNature machine intelligence2020

Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation.

James W Martin, Bruno Scaglioni, Joseph C Norton, Venkataraman Subramanian, Alberto Arezzo, Keith L Obstein, Pietro Valdastri

Open access · bronzeAbstract read
In one paragraph

Article in Nature machine intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
174.6field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 192 citations in OpenAlex.

  1. Review
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  6. Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI-Based Loop Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. Autonomous Magnetic Navigation in Endoscopic Image Mosaics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

7 authors at 4 institutions in 3 countries.

James W MartinSTORM Lab UK, University of Leeds, Leeds, UK.
Bruno ScaglioniSTORM Lab UK, University of Leeds, Leeds, UK.
Joseph C NortonSTORM Lab UK, University of Leeds, Leeds, UK.
Venkataraman SubramanianLeeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
Alberto ArezzoDepartment of Surgical Science, University of Torino, Corso Dogliotti, Turin, Italy.
Keith L ObsteinSTORM Lab USA, Vanderbilt University, Nashville, USA.
Pietro ValdastriSTORM Lab UK, University of Leeds, Leeds, UK.
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GBUniversity of Turin · ITVanderbilt University · US

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
A magnetic capsule endoscope for colonoscopy in patients with inflammatory bowel diseaseR01EB018992 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OBSTEIN, KEITH L · 2014 to 2024
$2.8M
Cancer Research UK 27744NIBIB NIH HHS R01 EB018992NIDDK NIH HHS P30 DK058404
6 · The paper itself

Abstract

Early diagnosis of colorectal cancer significantly improves survival. However, over half of cases are diagnosed late due to demand exceeding the capacity for colonoscopy - the "gold standard" for screening. Colonoscopy is limited by the outdated design of conventional endoscopes, associated with high complexity of use, cost and pain. Magnetic endoscopes represent a promising alternative, overcoming drawbacks of pain and cost, but struggle to reach the translational stage as magnetic manipulation is complex and unintuitive. In this work, we use machine vision to develop intelligent and autonomous control of a magnetic endoscope, for the first time enabling non-expert users to effectively perform magnetic colonoscopy in-vivo. We combine the use of robotics, computer vision and advanced control to offer an intuitive and effective endoscopic system. Moreover, we define the characteristics required to achieve autonomy in robotic endoscopy. The paradigm described here can be adopted in a variety of applications where navigation in unstructured environments is required, such as catheters, pancreatic endoscopy, bronchoscopy, and gastroscopy. This work brings alternative endoscopic technologies closer to the translational stage, increasing availability of early-stage cancer treatments.

Identifiers

PMID33089071
PMCPMC7571595
OpenAlexW3093713122

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.