Evidence map›Paper›PMID 41560633›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Intelligent Soft Opto-Magnetic Robot for Minimally Invasive Interventional Therapy.

Jingjing Guo, Xiaoyan Guo, Jian Wei, Miaowen Jiang, Qifa Su, Xian Xia, Zhuozhou Li, Rong Cai, Jianguo Ma, Bo Fu and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Jingjing GuoSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0002-3893-2319
Xiaoyan GuoSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Jian WeiDepartment of Interventional Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Miaowen JiangBeijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
Qifa SuSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Xian XiaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Zhuozhou LiSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Rong CaiSchool of Engineering Medicine, Beihang University, Beijing, China.
Jianguo MaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Bo FuSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Ming LiBeijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
Jing ZhongSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Lijun XuSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Xunming JiBeijing Institute of Brain Disorders, Capital Medical University, Beijing, China.

Funding

Beijing Nova ProgramFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China 62175008National Natural Science Foundation of China 62575010Natural Science Foundation of Beijing Municipality L252182
6 · The paper itself

Abstract

Minimally invasive interventions (MII) have transformed surgical practice by reducing patient trauma, speeding recovery, and improving patient outcomes. However, their effectiveness remains constrained by the lack of tactile feedback in confined spaces, reliance on manual dexterity, and dependence on radiation-based imaging. Remotely controlled miniature soft robots that integrate tactile sensing, real-time monitoring, and therapeutic delivery offer a promising route to overcome these barriers, but achieving such multifunctionality within a single device has yet to be realized. Here, we introduce an intelligent soft opto-magnetic (iSOM) robot that integrates magnetic actuation, skin-mimic tactile sensing, and photothermal ablation in a millimeter-scale design. The robot comprises a compliant polymer sheath configured with optical pathways for sensing and therapeutic light delivery, a magnetically steerable body for controlled navigation, and a tissue-conforming tip designed to provide tactile feedback and localized photothermal therapy. Driven by magnetic fields and laser excitation, the robot can actively navigate tortuous anatomy to perform targeted ablation therapy, while simultaneously providing real-time feedback on both navigation and treatment to ensure precision and safety. Its capabilities were validated in proof-of-concept demonstrations, including real-time tracked photothermal ablation in porcine tissue, targeted cardiac ablation in cardiovascular phantoms, and image-guided therapeutic interventions in ex vivo and in vivo anatomical systems, underscoring its translational potential for high-precision MII.

Indexed as

Minimally Invasive Surgical ProceduresRoboticsRobotic Surgical ProceduresAnimalsEquipment DesignHumansIntelligent SystemsSwineminimally invasive interventionsoptical tactile sensorphotothermal ablation therapysoft robotics

Identifiers

PMID41560633
PMCPMC13042443

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.