Evidence map›Paper›PMID 42877242›Full record

ArticleIEEE transactions on medical robotics and bionics2024

ENTRI: Enhanced Navigational Toolkit for Robotic Interventions.

Manish Sahu, Hisashi Ishida, Laura Connolly, Hongyi Fan, Anton Deguet, Peter Kazanzides, Francis X Creighton, Russell H Taylor, Adnan Munawar

Abstract read
PubMed Full text at PMC Publisher
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

9 authors.

Manish SahuLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.ORCID 0000-0003-2158-823X
Hisashi IshidaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.
Laura ConnollyLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA, and also with the School of Computing, Queen's University, Kingston, ON K7L 3N6, Canada.
Hongyi FanLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.
Anton DeguetLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.ORCID 0000-0003-3856-2095
Peter KazanzidesLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.ORCID 0000-0002-6117-5467
Francis X CreightonLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA, and also with the Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA.
Russell H TaylorLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA, and also with the Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA.ORCID 0000-0001-6272-1100
Adnan MunawarLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218 USA.

Funding

Cooperative Control Robotics and Computer Vision: Development of Semi-Autonomous Temporal Bone and Skull Base SurgeryK08DC019708 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CREIGHTON, FRANCIS XAVIER · 2021 to 2025
$959k
NIDCD NIH HHS K08 DC019708
6 · The paper itself

Abstract

Image-guided robotic interventions represent a transformative frontier in surgery, blending advanced imaging and robotics for improved precision and outcomes. This paper addresses the critical need for integrating open-source platforms to enhance situational awareness in image-guided robotic research. We present an open-source toolkit, named ENTRI, that seamlessly combines a physics-based constraint formulation framework, AMBF, with a state-of-the-art imaging platform application, 3D Slicer. ENTRI facilitates the creation of highly customizable interactive digital twins, that incorporate processing and visualization of medical imaging, robot kinematics, and scene dynamics for real-time robot control. Through a feasibility study, we showcase real-time synchronization of a physical robotic interventional environment in both 3D Slicer and AMBF, highlighting low-latency updates and improved visualization. The source code and supplementary materials for this study are available at https://github.com/LCSR-CIIS/ENTRI.

Indexed as

digital twinimage-guided surgeryRobot-assisted surgeryrobot operating systemsurgical navigation

Identifiers

PMID42877242
PMCPMC13664639

What OpenQuestion holds

Textmetadata
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.