Evidence map›Paper›PMID 40970841›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Magnetic Milli-Spinner for Robotic Endovascular Surgery.

Shuai Wu, Yilong Chang, Sophie Leanza, Jay Sim, Lu Lu, Qi Li, Diego Stone, Ruike Renee Zhao

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Magnetic Milli-Spinner for Robotic Endovascular Surgery.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  6. Article
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.

Shuai WuDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Yilong ChangDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Sophie LeanzaDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Jay SimDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Lu LuDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Qi LiDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Diego StoneDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Ruike Renee ZhaoDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-9292-5267

Funding

Axiom zeego shared instrument grantS10RR026714 · NCRR · STANFORD UNIVERSITY · PI FAHRIG, REBECCA · 2010 to 2010
$500k
National Institutes of Health Shared Instrumentation S10RR026714National Science Foundation Career Award CMMI-2145601NCRR NIH HHS S10 RR026714
6 · The paper itself

Abstract

Navigating the complex and high-flow environment of human vasculature remains a major challenge for conventional endovascular tools and externally actuated tethered systems. While catheter-based approaches are the clinical standard, their limited steerability and force transmission hinder access to tortuous or distal vessels, especially in the brain. Untethered robotic systems have emerged as a promising alternative for enhanced flexibility and reachability. However, most designs struggle against the high, pulsatile blood flow in human arteries. Here, the study presents a magnetically actuated milli-spinner robot that overcomes existing limitations in navigating complex and high-flow vasculature. Capable of swimming at 23 cm·s

Indexed as

Endovascular ProceduresRobotic Surgical ProceduresHumansMagnetic Phenomenaendovascular robotmagnetic robotMilli‐spinnerrobotic surgery

Identifiers

PMID40970841
PMCPMC12810593

What OpenQuestion holds

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LicenceCC BY
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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.