Evidence map›Paper›PMID 42319560›Full record

ReviewJournal of robotic surgery2026

Progress and perspectives in soft robotics for surgery and rehabilitation.

Yang Liu, Tianming He, Zheng Yang, Yuchuan Wu, Haobo Cui, Wenbo Song, Xinzhu Li, Xiaolu Shi, Shaobo Zhai, Fengxiang Gao and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 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

11 authors.

Yang Liu *Department of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Tianming He *Department of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Zheng YangDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Yuchuan WuDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Haobo CuiDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Wenbo SongDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Xinzhu LiDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Xiaolu ShiDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Shaobo ZhaiDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Fengxiang GaoChangchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China. gfx26@ciac.ac.cn.
Shunli ChuDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China. chusl@jlu.edu.cn.

Funding

The Science and Technology Research Project of Jilin Provincial Science and Technology Department YDZJ202501ZYTS129
6 · The paper itself

Abstract

Soft robotic systems have become a promising technology in the biomedical field due to their higher safety, dexterity and adaptability compared to traditional rigid robotic systems. This review focuses on recent advances in soft robotic systems applied to surgical assistance and rehabilitation. In surgery, soft grippers and flexible endoscopes show better adaptability, dexterity, and miniaturization, enabling safer and more precise manipulation of delicate tissues. In rehabilitation, wearable soft devices show great potential to help patients with neurological injuries to regain movement. Key innovations in actuation technology are examined, along with recent advances in multifunctional, self-healing, and environmentally responsive materials. Meanwhile, sensing systems are evolving from unimodal sensing to multimodal fusion, self-perception, and sense-drive integration, enabling robots to sense the body state and external environment with higher accuracy and realize closed-loop control. Finally, this paper points out that soft robots still face key challenges such as material durability, biosafety, and stability during clinical translation. In the future, the focus should be on the construction of systems with self-diagnosis, self-adaptive adjustment and closed-loop control, and promote the efficient landing and personalized application of soft robots from experimental research to real medical scenarios.

Indexed as

RehabilitationRoboticsRobotic Surgical ProceduresEquipment DesignHumansWearable Electronic DevicesActuatorsAssistive deviceMaterialsSensorsSoft robotics

Identifiers

What OpenQuestion holds

Textmetadata
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.