Evidence map›Paper›PMID 38125032›Full record

ArticleIEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation

Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing.

Shervin Dehghani, Michael Sommersperger, Peiyao Zhang, Alejandro Martin-Gomez, Benjamin Busam, Peter Gehlbach, Nassir Navab, M Ali Nasseri, Iulian Iordachita

Open access · greenAbstract read
In one paragraph

Article in IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Motion Compensation and Adaptive Force Control via iOCT-FBG Sensor Fusion for Robotic Subretinal Injection.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2026
    Article
  4. Surgical Approaches to Retinal Gene Therapy: 2025 Update.Bioengineering (Basel, Switzerland) · 2025
    Review
  5. Deep Learning-Enhanced Robotic Subretinal Injection with Real-Time Retinal Motion Compensation.IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering · 2025
    Article
  6. Article
  7. Article
  8. Towards Motion Compensation in Autonomous Robotic Subretinal Injections.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2025
    Article
  9. Real-time Deformation-aware Control for Autonomous Robotic Subretinal Injection under iOCT Guidance.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2025
    Article
  10. Review
  11. Review
  12. New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.Translational vision science & technology · 2025
    Review
  13. A Feasible Workflow for Retinal Vein Cannulation in Ex Vivo Porcine Eyes with Robotic Assistance.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  14. Autonomous Needle Navigation in Subretinal Injections via iOCT.IEEE robotics and automation letters · 2024
    Article
  15. Towards Autonomous Retinal Microsurgery Using RGB-D Images.IEEE robotics and automation letters · 2024
    Article
  16. 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 at 2 institutions in 1 country.

Shervin DehghaniDepartment of Computer Science, Technische Universität München, München 85748 Germany.
Michael SommerspergerDepartment of Computer Science, Technische Universität München, München 85748 Germany.
Peiyao ZhangLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Alejandro Martin-GomezLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Benjamin BusamDepartment of Computer Science, Technische Universität München, München 85748 Germany.
Peter GehlbachWilmer Eye Institute, Johns Hopkins Hospital, Baltimore, MD, USA.
Nassir NavabComputer Aided Medical Procedures & Augmented Reality, Technical University of Munich, 85748 Munich, Germany, and an adjunct professor at the Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
M Ali NasseriDepartment of Computer Science, Technische Universität München, München 85748 Germany.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Hospital · US

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

In the last decade, various robotic platforms have been introduced that could support delicate retinal surgeries. Concurrently, to provide semantic understanding of the surgical area, recent advances have enabled microscope-integrated intraoperative Optical Coherent Tomography (iOCT) with high-resolution 3D imaging at near video rate. The combination of robotics and semantic understanding enables task autonomy in robotic retinal surgery, such as for subretinal injection. This procedure requires precise needle insertion for best treatment outcomes. However, merging robotic systems with iOCT introduces new challenges. These include, but are not limited to high demands on data processing rates and dynamic registration of these systems during the procedure. In this work, we propose a framework for autonomous robotic navigation for subretinal injection, based on intelligent real-time processing of iOCT volumes. Our method consists of an instrument pose estimation method, an online registration between the robotic and the iOCT system, and trajectory planning tailored for navigation to an injection target. We also introduce

Indexed as

Computer Vision for Medical RoboticsMedical Robots and SystemsVision-Based Navigation

Identifiers

PMID38125032
PMCPMC10732544
OpenAlexW4317547928

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.