Evidence map›Paper›PMID 40777983›Full record

ArticleIEEE transactions on medical robotics and bionics2024

SlicerROS2: A research and development module for image-guided robotic interventions.

Laura Connolly, Aravind S Kumar, Kapi Ketan Mehta, Lidia Al-Zogbi, Peter Kazanzides, Parvin Mousavi, Gabor Fichtinger, Axel Krieger, Junichi Tokuda, Russell H Taylor and 2 more

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Laura ConnollyQueen's University, Kingston, ON, Canada.
Aravind S KumarJohns Hopkins University, Baltimore, MD, United States.
Kapi Ketan MehtaJohns Hopkins University, Baltimore, MD, United States.
Lidia Al-ZogbiJohns Hopkins University, Baltimore, MD, United States.
Peter KazanzidesJohns Hopkins University, Baltimore, MD, United States.
Parvin MousaviQueen's University, Kingston, ON, Canada.
Gabor FichtingerQueen's University, Kingston, ON, Canada.
Axel KriegerJohns Hopkins University, Baltimore, MD, United States.
Junichi TokudaBrigham and Women's Hospital, Boston, MA, United States.
Russell H TaylorJohns Hopkins University, Baltimore, MD, United States.
Simon LeonardJohns Hopkins University, Baltimore, MD, United States.
Anton DeguetJohns Hopkins University, Baltimore, MD, United States.

Funding

Open Software Platform for Data-Driven Image-Guided Robotic InterventionsR01EB020667 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAZ-MERCADO, YANCY, KRIEGER, AXEL · 2015 to 2024
$4.1M
NIBIB NIH HHS R01 EB020667
6 · The paper itself

Abstract

Image-guided robotic interventions involve the use of medical imaging in tandem with robotics. SlicerROS2 is a software module that combines 3D Slicer and robot operating system (ROS) in pursuit of a standard integration approach for medical robotics research. The first release of SlicerROS2 demonstrated the feasibility of using the C++ API from 3D Slicer and ROS to load and visualize robots in real time. Since this initial release, we've rewritten and redesigned the module to offer greater modularity, access to low-level features, access to 3D Slicer's Python API, and better data transfer protocols. In this paper, we introduce this new design as well as four applications that leverage the core functionalities of SlicerROS2 in realistic image-guided robotics scenarios.

Indexed as

3D SlicerImage-guidancemotion planningresearch prototypingroboticsROS2virtual fixtures

Identifiers

PMID40777983
PMCPMC12327204

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.