Evidence map›Paper›PMID 39309968›Full record

ArticleIEEE robotics and automation letters2024

Towards Autonomous Retinal Microsurgery Using RGB-D Images.

Ji Woong Kim, Shuwen Wei, Peiyao Zhang, Peter Gehlbach, Jin U Kang, Iulian Iordachita, Marin Kobilarov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE robotics and automation letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. A Deep Learning-Driven Autonomous System for Retinal Vein Cannulation: Validation Using a Chicken Embryo Model.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2025
    Article
  4. Autonomous Needle Navigation in Subretinal Injections via iOCT.IEEE robotics and automation letters · 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.

Ji Woong KimMechanical Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.
Shuwen WeiElectrical and Computer Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.
Peiyao ZhangMechanical Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.
Peter GehlbachJohns Hopkins Wilmer Eye Institute, Baltimore, MD 21287 USA.
Jin U KangElectrical and Computer Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.
Iulian IordachitaMechanical Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.
Marin KobilarovMechanical Engineering Dept at the Johns Hopkins University, Baltimore, MD 21218 USA.

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
Enabling technology for image-guided robot-assisted sub-retinal injectionsR01EB025883 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI IORDACHITA, IULIAN IOAN · 2019 to 2021
$1.5M
NIBIB NIH HHS R01 EB023943NIBIB NIH HHS R01 EB025883
6 · The paper itself

Abstract

Retinal surgery is a challenging procedure requiring precise manipulation of the fragile retinal tissue, often at the scale of tens-of-micrometers. Its difficulty has motivated the development of robotic assistance platforms to enable precise motion, and more recently, novel sensors such as microscope integrated optical coherence tomography (OCT) for RGB-D view of the surgical workspace. The combination of these devices opens new possibilities for robotic automation of tasks such as subretinal injection (SI), a procedure that involves precise needle insertion into the retina for targeted drug delivery. Motivated by this opportunity, we develop a framework for autonomous needle navigation during SI. We develop a system which enables the surgeon to specify waypoint goals in the microscope and OCT views, and the system autonomously navigates the needle to the desired subretinal space in

Indexed as

Computer Vision for Medical RoboticsMedical Robots and SystemsVision-Based Navigation

Identifiers

PMID39309968
PMCPMC11415253

What OpenQuestion holds

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Registered trials

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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.