Evidence map›Paper›PMID 40000834›Full record

ArticleScientific reports2025

An advanced robotic system incorporating haptic feedback for precision cardiac ablation procedures.

Linshuai Zhang, Jinshan Zuo, Ke Wang, Tao Jiang, Shuoxin Gu, Lin Xu, Yujie Zhang

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Linshuai ZhangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Jinshan ZuoSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Ke WangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Tao JiangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. jiangtop@cdutcm.edu.cn.
Shuoxin GuSchool of Automation, Chengdu University of Information Technology, Chengdu, 610225, China. gsx@cuit.edu.cn.
Lin XuSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Yujie ZhangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.

Funding

College Students' Innovation and Entrepreneurship Training Project 202310633027National Natural Science Foundation of China 62203071Sichuan Science and Technology Planning Project 2023YFG0178
6 · The paper itself

Abstract

This study introduces an innovative master-slave cardiac ablation catheter robot system that employs magnetorheological fluids. The system incorporates magnetorheological fluid to enable collision detection through haptic feedback, thereby enhancing the operator's situational awareness. A modular clamping and propulsion mechanism has been engineered for the ablation catheter, facilitating omnidirectional operation and force feedback within the cardiac cavity. To evaluate the proposed system, an in vitro experiment was performed. Results from the experiment indicate that the system demonstrates high motion transmission accuracy. Furthermore, the system effectively alerts operators to potential collisions, enabling swift catheter position adjustments, minimizing the risk of vascular perforation, and ultimately enhancing the overall safety and efficiency of the procedure.

Indexed as

Catheter AblationRoboticsRobotic Surgical ProceduresEquipment DesignFeedbackHumansAblation catheterForce feedbackMagnetorheological fluidModular clamping mechanismSurgical safetyTactile feedback

Identifiers

PMID40000834
PMCPMC11862161

What OpenQuestion holds

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Registered trials

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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.