Evidence map›Paper›PMID 34621980›Full record

ArticleIEEE robotics and automation letters2021

Semi-Automated Extraction of Lens Fragments via a Surgical Robot Using Semantic Segmentation of OCT Images with Deep Learning - Experimental Results in

Changyeob Shin, Matthew J Gerber, Yu-Hsiu Lee, Mercedes Rodriguez, Sahba Aghajani Pedram, Jean-Pierre Hubschman, Tsu-Chin Tsao, Jacob Rosen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. 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
  4. Article
  5. Review
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

8 authors at 1 institution in 1 country.

Changyeob ShinDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
Matthew J GerberStein Eye Institute, University of California, Los Angeles, CA, USA.
Yu-Hsiu LeeDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
Mercedes RodriguezStein Eye Institute, University of California, Los Angeles, CA, USA.
Sahba Aghajani PedramDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
Jean-Pierre HubschmanStein Eye Institute, University of California, Los Angeles, CA, USA.
Tsu-Chin TsaoDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
Jacob RosenDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

Vision Science Training ProgramT32EY007026 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alapakkam P Sampath · 1985 to 2026
$5.7M
Intraocular Robotic Interventional and Surgical System for Automated Cataract SurgeryR01EY030595 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSAO, TSU-CHIN TC · 2019 to 2022
$2.3M
Vitreoretinal Surgery via Robotic Microsurgical System with Image Guidance, Force Feedback, Virtual Fixture, and Augmented RealityR01EY029689 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSAO, TSU-CHIN TC · 2019 to 2023
$2.0M
NEI NIH HHS R01 EY029689NEI NIH HHS R01 EY030595NEI NIH HHS T32 EY007026
6 · The paper itself

Abstract

The overarching goal of this work is to demonstrate the feasibility of using optical coherence tomography (OCT) to guide a robotic system to extract lens fragments from

Indexed as

Cataract SurgeryComputer Vision for Medical RoboticsDeep LearningMedical Robots and SystemsSurgical Robotics: Planning

Identifiers

PMID34621980
PMCPMC8492005
OpenAlexW3154499910

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.