Evidence map›Paper›PMID 35309100›Full record

ArticleIEEE robotics and automation letters2021

Spotlight-based 3D Instrument Guidance for Autonomous Task in Robot-assisted Retinal Surgery.

Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi, Niravkumar Patel, Yunhui Liu, Nassir Navab, Peter Gehlbach, Alois Knoll, M Ali Nasseri, Iulian Iordachita

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-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

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Magnification-Invariant Retinal Distance Estimation for Vitreoretinal Surgery Using a Laser Aiming Beam.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 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

10 authors at 4 institutions in 4 countries.

Mingchuan ZhouCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Jiahao WuLaboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Ali EbrahimiLaboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Niravkumar PatelLaboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Yunhui LiuT Stone Robotics Institute, the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, HKSAR, China.
Nassir NavabDepartment of Computer Science in Technische Universität München, München 85748 Germany.
Peter GehlbachWilmer Eye Institute, Johns Hopkins Hospital, Baltimore, MD 21287 USA, and the Department of Electical Engineering at the Johns Hopkins University, Baltimore, MD 21218 USA.
Alois KnollDepartment of Computer Science in Technische Universität München, München 85748 Germany.
M Ali NasseriAugenklinik und Poliklinik, Klinikum rechts der Isar der Technische Universität München, München 81675 Germany.
Iulian IordachitaLaboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Johns Hopkins University · USMunich University of Applied Sciences · DEChinese University of Hong Kong · HKTUM Klinikum · DE

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 known to be a complicated and challenging task for an ophthalmologist even for retina specialists. Image guided robot-assisted intervention is among the novel and promising solutions that may enhance human capabilities during microsurgery. In this paper, a novel method is proposed for 3D navigation of a microsurgical instrument based on the projection of a spotlight during robot-assisted retinal surgery. To test the feasibility and effectiveness of the proposed method, a vessel tracking task in a phantom with a Remote Center of Motion (RCM) constraint is performed by the Steady-Hand Eye Robot (SHER). The results are compared to manual tracking, cooperative control tracking with the SHER and spotlight-based automatic tracking with SHER. The reported results are that the spotlight-based automatic tracking with SHER can reach an average tracking error of 0.013 mm and keeping distance error of 0.1 mm from the desired range demonstrating a significant improvement compared to manual or cooperative control methods alone.

Indexed as

Autonomous SurgeryMedical Robots and SystemsRobot-assisted Retinal Surgery

Identifiers

PMID35309100
PMCPMC8932929
OpenAlexW3189436301

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.