Evidence map›Paper›PMID 41953928›Full record

ArticleIEEE transactions on medical robotics and bionics2026

Modeling and Control For Minimally Invasive Intracerebral Hemorrhage Evacuation.

Anthony L Gunderman, Satya A Velumuri, Saikat Sengupta, Dimitri Sigounas, Kevin Cleary, Yue Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2026. 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

6 authors.

Anthony L GundermanMechanical Engineering Department, University of Arkansas, Fayetteville, AR USA. He was also with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA.
Satya A VelumuriSchool of Computer Science, Georgia Institute of Technology, Atlanta, GA USA.
Saikat SenguptaVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN USA.
Dimitri SigounasThe George Washington University School of Medicine and Health Sciences, Department of Neurosurgery, The George Washington University, Washington, DC USA.
Kevin ClearySheikh Zayed Institute for Pediatric Surgical Innovation Children's National Hospital, Washington, DC USA.
Yue ChenBiomedical Engineering Department, Georgia Institute of Technology/Emory, Atlanta USA.

Funding

MRI-compatible concentric tube robot for intracerebral hemorrhageR01NS116148 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI CHEN, YUE, CLEARY, KEVIN R. · 2021 to 2024
$2.3M
NINDS NIH HHS R01 NS116148
6 · The paper itself

Abstract

Intracerebral hemorrhage (ICH) is a severe type of hemorrhagic stroke that causes nearly 3 million deaths annually. Recent studies have indicated minimally invasive surgery (MIS) can improve functional outcomes in patients with lobar ICH. However, despite these promising results, challenges persist, including tool dexterity and visualization. Our group has been developing a concentric tube robot (CTR) for MR-guided ICH evacuation to address these concerns. We have demonstrated feasibility in prior

Indexed as

Clot ModelingConcentric Tube RobotIntracerebral Hemorrhage EvacuationMRI

Identifiers

PMID41953928
PMCPMC13055931

What OpenQuestion holds

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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.