Evidence map›Paper›PMID 41852289›Full record

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

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.

Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh-An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang-Phuong Phan, Thanh Nho Do, Mai Thanh Thai

Abstract readReview
In one paragraph

Review 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. Review
  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

10 authors.

Duc Tu VuCollege of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam.
Nhu An PhanCollege of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam.
Sy Trung NgoCollege of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam.
Minh Tri PhanCollege of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam.
Thanh-An TruongSchool of Engineering and Built Environment, Queensland Quantum and Advanced Technologies Research Institute (QUATRI), Griffith University, Queensland, Australia.
Chi Cong NguyenSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Phuoc Thien PhanSchool of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Sydney, New South Wales, Australia.
Hoang-Phuong PhanSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Thanh Nho DoSchool of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Sydney, New South Wales, Australia.
Mai Thanh ThaiCollege of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam.ORCID https://orcid.org/0000-0001-9930-5493

Funding

VinUni Center for AI ResearchVinUni Center for Environmental IntelligenceVinUni-Illinois Smart Health Center VUNI.2425.CRI.009
6 · The paper itself

Abstract

Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerstone of regenerative medicine. Conventional approaches rely on printing tissues outside the body for later implantation but are limited by geometric mismatch, construct fragility, and invasive surgery. In situ bioprinting addresses these limitations by depositing cells and biomaterials directly at defect sites, enabling patient-specific repair and improved tissue integration. Building on this paradigm, Minimally Invasive Bioprinting (MIB) targets internal organ regeneration through small incisions or natural orifices. This review defines a technological roadmap from handheld bioprinting tools to advanced MIB systems, identifying soft robotics as the primary hardware enabler for navigation within confined anatomical environments. We examine essential technology pillars for MIB, including soft actuation, sensing, real-time imaging, computational modeling, intelligent control, and bioink engineering. The integration of emerging approaches such as artificial intelligence, four-dimensional bioprinting, and organ-on-a-chip platforms is discussed for enhancing autonomy, adaptability, and functional outcomes. Finally, we evaluate key translational challenges, including safety, scalability, and reproducibility, and outline regulatory considerations for clinical implementation. Overall, integrating soft robotic mechanisms with in situ bioprinting is critical for achieving safe, high-fidelity, patient-specific internal organ repair in minimally invasive clinical settings worldwide for future practice applications.

Indexed as

BioprintingMinimally Invasive Surgical ProceduresRegenerative MedicineRoboticsTissue EngineeringAnimalsHumansflexible actuationin situ bioprintingminimally invasive surgeryrobotic‐assisted bioprintingsoft roboticstissue regeneration

Identifiers

PMID41852289
PMCPMC13088287

What OpenQuestion holds

Textmetadata
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.