Evidence map›Paper›PMID 42466112›Full record

ArticleJournal of medical robotics research2026

A Modular Synthetic Data Generation Toolkit for Vision-Based Localization Models in Intraocular Robotic Microsurgery.

Siying Zhu, Yub Heo, Mojtaba Esfandiari, Hisashi Ishida, Lalithkumar Seenivasan, Peter Kazanzides, Peter Gehlbach, Iulian Iordachita, Adnan Munawar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical robotics research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Siying ZhuLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Yub HeoLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Mojtaba EsfandiariLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Hisashi IshidaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Lalithkumar SeenivasanLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Peter KazanzidesLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Peter GehlbachWilmer Eye Institute, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Adnan MunawarLaboratory for Computational Sensing and Robotics, 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 Dexterous Intraocular Surgery with Robotic AssistanceR01EB034397 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI IULIAN IOAN IORDACHITA · 2024 to 2026
$1.2M
NIBIB NIH HHS R01 EB023943NIBIB NIH HHS R01 EB034397
6 · The paper itself

Abstract

Intraocular microsurgery requires submillimeter precision within an extremely confined and delicate anatomical workspace. Cable-driven continuum robots such as Improved Integrated Robotic Intraocular Snake (I

Indexed as

Continuum robotIntraocular surgerySimulation datasetVision-based localization

Identifiers

PMID42466112
PMCPMC13374722

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.