Evidence map›Paper›PMID 41998321›Full record

ReviewNature reviews. Cardiology2026

Soft robotic devices for cardiovascular medicine.

Xing-Yu Ji, Jia-Qi Zhu, Ke Wu, Liu Wang, Tian-Yuan Xiong, Li Zhang, Mao Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 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

7 authors.

Xing-Yu Ji *Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0009-0005-2329-5547
Jia-Qi Zhu *Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ke WuRobotics Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates.
Liu WangDepartment of Modern Mechanics, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0001-7014-9976
Tian-Yuan XiongLaboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, China. xiongtianyuan@wchscu.cn.
Li ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China. lizhang@mae.cuhk.edu.hk.ORCID http://orcid.org/0000-0003-1152-8962
Mao ChenLaboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, China. hmaochen@vip.sina.com.ORCID http://orcid.org/0000-0002-7352-0563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional, rigid simulators and therapeutic devices for cardiovascular disease have several fundamental limitations, such as poor biomimetic fidelity, substantial surgical invasiveness and mismatch at the tissue-device interface. Soft robotic devices, with tissue-like materials, structures and functions, are emerging as promising alternatives. In this Review, by matching clinical demands to technological breakthroughs, we identify three emerging complementary frontiers in which soft robotic devices are redefining cardiovascular medicine - soft robotic simulators, such as in vitro ventricular simulators and in vivo assistive simulators; soft robotic interventional instruments, such as percutaneous instruments, endovascular continuum instruments and untethered mini-scale robots; and soft robotic implants for vascular disease, arrhythmia and heart failure. We describe the unique advantages of soft robotic devices as well as their applicable scope and technical implementation. Finally, we highlight promising technological opportunities for next-generation soft cardiac devices, evaluate the clinical maturity of existing devices and propose a translational roadmap for the coming decade. With this Review, we aim to foster further integration of soft robotics into cardiovascular medicine by identifying device solutions with translational potential to address unmet clinical needs.

Identifiers

PMID41998321

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.