Evidence map›Paper›PMID 34423337›Full record

Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2020

Improved Integrated Robotic Intraocular Snake.

Makoto Jinno, Iulian Iordachita

Open access · greenAbstract read
In one paragraph

Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. A Data-Driven Model with Hysteresis Compensation for I... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2024
    Article
  4. Optimization-based Concurrent Control of a High Dexterity Robot for Vitreoretinal Surgery.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2022
    Article
  5. An Integrated High-dexterity Cooperative Robotic Assistant for Intraocular Micromanipulation.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2021
    Article
  6. 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

2 authors at 2 institutions in 2 countries.

Makoto JinnoSchool of Science and Engineering, Mechanical Engineering Course, Kokushikan University, Tokyo, Japan; Whiting School of Engineering, Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.
Iulian IordachitaWhiting School of Engineering, Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.
Johns Hopkins University · USKokushikan University · JP

Funding

Enabling Technology for Safe Robot-assisted Surgical MicromanipulationR01EB023943 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI GEHLBACH, PETER LOUIS, IORDACHITA, IULIAN IOAN · 2017 to 2024
$2.3M
NIBIB NIH HHS R01 EB023943
6 · The paper itself

Abstract

Retinal surgery can be performed only by surgeons possessing advanced surgical skills because of the small, confined intraocular space, and the restricted free motion of instruments in contact with the sclera. Snake-like robots could be essential for use in retinal surgery to overcome this problem. Such robots can approach from suitable directions and operate delicate tissues when performing retinal vein cannulation, epiretinal membrane peeling and so on. In this study, we propose an improved integrated robotic intraocular snake (I

Indexed as

mechanism designmedical robotmicrosurgeryretinal surgery

Identifiers

PMID34423337
PMCPMC8375417
OpenAlexW3120333955

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.