Evidence map›Paper›PMID 41220689›Full record

ArticleIEEE robotics and automation letters2025

Soft Robotic Delivery of Coiled Anchors for Cardiac Interventions.

Leonardo Zamora Yañez, Jacob Rogatinsky, Dominic Recco, Sang-Yoep Lee, Grace Matthews, Andrew P Sabelhaus, David Hoganson, Tommaso Ranzani

Abstract read
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In one paragraph

Article in IEEE robotics and automation letters, 2025. 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

8 authors.

Leonardo Zamora YañezDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Jacob RogatinskyDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Dominic ReccoDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA 02115, USA.
Sang-Yoep LeeDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Grace MatthewsDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Andrew P SabelhausDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
David HogansonDepartment of Cardiac Surgery, Boston Children's Hospital, Boston, MA 02115, USA.
Tommaso RanzaniDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.

Funding

Intracardiac beating heart tricuspid valve repair via robotics.R01EB035574 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Tommaso Ranzani · 2025 to 2026
$1.1M
Enabling advanced endovascular beating-heart procedures through soft roboticsR21EB028363 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI RANZANI, TOMMASO · 2020 to 2022
$716k
NIBIB NIH HHS R01 EB035574NIBIB NIH HHS R21 EB028363
6 · The paper itself

Abstract

Trans-catheter cardiac intervention has become an increasingly available option for high-risk patients without the complications of open heart surgery. However, current catheter-based platforms suffer from a lack of dexterity, force application, and compliance required to perform complex intracardiac procedures. An exemplary task that would significantly ease minimally invasive intracardiac procedures is the implantation of anchor coils, which can be used to fix and implant various devices. We introduce a robotic platform capable of delivering anchor coils. We develop a kineto-statics model of the robotic platform and demonstrate low positional error. We leverage the passive compliance and high force output of the actuator in a multi-anchor delivery procedure against a motile

Indexed as

Medical Robots and SystemsSoft Robot Applications

Identifiers

PMID41220689
PMCPMC12599854

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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.