Evidence map›Paper›PMID 30887423›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Preliminary study of an RNN-based active interventional robotic system (AIRS) in retinal microsurgery.

Changyan He, Niravkumar Patel, Ali Ebrahimi, Marin Kobilarov, Iulian Iordachita

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. 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
2.7field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Evaluation of (Shared) Autonomy in Robot-Assisted Vitreoretinal Surgery Using a Surgical Model.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
  3. Cooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024
    Article
  4. Article
  5. Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    Article
  6. Article
  7. Stochastic Force-based Insertion Depth and Tip Position Estimations of Flexible FBG-Equipped Instruments in Robotic Retinal Surgery.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2021
    Article
  8. Article
  9. FBG-based Kalman Filtering and Control of Tool Insertion Depth For Safe Robot-assisted Vitrectomy.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2020
    Article
  10. Robotic Retinal Surgery Impacts on Scleral Forces: In Vivo Study.Translational vision science & technology · 2020
    Article
  11. Scleral Force Evaluation During Vitreoretinal Surgery: in an In Vivo Rabbit Eye Model.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    Article
  12. Article
  13. Real Time Prediction of Sclera Force with LSTM Neural Networks in Robot-Assisted Retinal Surgery.Achievements and solutions in mechanical engineering II : selected, peer reviewed papers from the 5th International Conference of Mechanical Engineering (ICOME) 2019, October 24-25, 2019, Craiova, Romania. ICOME (Conference) (5th : 2019... · 2020
    Article
  14. Toward Improving Patient Safety and Surgeon Comfort in a Synergic Robot-Assisted Eye Surgery: A Comparative Study.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2019
    Article
  15. Towards securing the sclera against patient involuntary head movement in robotic retinal surgery.RO-MAN ... : the ... IEEE International Symposium on Robot and Human Interactive Communication : proceedings. IEEE International Symposium on Robot and Human Interactive Communication · 2019
    Article
  16. Sclera Force Evaluation During Vitreoretinal Surgeries in Ex Vivo Porcine Eye Model.Proceedings of IEEE Sensors. IEEE International Conference on Sensors · 2019
    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

5 authors at 1 institution in 2 countries.

Changyan HeSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China. changyanhe@jhu.edu.ORCID http://orcid.org/0000-0002-2540-3848
Niravkumar PatelLCSR, Johns Hopkins University, Baltimore, MD, 21218, USA.
Ali EbrahimiLCSR, Johns Hopkins University, Baltimore, MD, 21218, USA.
Marin KobilarovLCSR, Johns Hopkins University, Baltimore, MD, 21218, USA.
Iulian IordachitaLCSR, Johns Hopkins University, Baltimore, MD, 21218, USA.
Johns Hopkins University · 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
China Sponsorship Council 201706020074National Hi-tech Research and Development Program(CN) 2017YFB1302702National Natural Science Foundation of China 51875011NIBIB NIH HHS R01 EB023943NIH HHS 1R01EB023943-01
6 · The paper itself

Abstract

purposeRetinal microsurgery requires highly dexterous and precise maneuvering of instruments inserted into the eyeball through the sclerotomy port. During such procedures, the sclera can potentially be injured from extreme tool-to-sclera contact force caused by surgeon's unintentional misoperations.

methodsWe present an active interventional robotic system to prevent such iatrogenic accidents by enabling the robotic system to actively counteract the surgeon's possible unsafe operations in advance of their occurrence. Relying on a novel force sensing tool to measure and collect scleral forces, we construct a recurrent neural network with long short-term memory unit to oversee surgeon's operation and predict possible unsafe scleral forces up to the next 200 ms. We then apply a linear admittance control to actuate the robot to reduce the undesired scleral force. The system is implemented using an existing "steady hand" eye robot platform. The proposed method is evaluated on an artificial eye phantom by performing a "vessel following" mock retinal surgery operation.

resultsEmpirical validation over multiple trials indicates that the proposed active interventional robotic system could help to reduce the number of unsafe manipulation events.

conclusionsWe develop an active interventional robotic system to actively prevent surgeon's unsafe operations in retinal surgery. The result of the evaluation experiments shows that the proposed system can improve the surgeon's performance.

Indexed as

HumansMicrosurgeryOphthalmologic Surgical ProceduresRetinaRobotic Surgical ProceduresInterventional systemMedical robotRecurrent neural networkRetinal surgery

Identifiers

PMID30887423
PMCPMC6545152
OpenAlexW2922108835

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.