Evidence map›Paper›PMID 39815013›Full record

ReviewNPJ digital medicine2025

Digital twin assisted surgery, concept, opportunities, and challenges.

Lisa Asciak, Justicia Kyeremeh, Xichun Luo, Asimina Kazakidi, Patricia Connolly, Frederic Picard, Kevin O'Neill, Sotirios A Tsaftaris, Grant D Stewart, Wenmiao Shu

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  6. Review
  7. Colour-Guided Surgery: A Conceptual Framework for Multimodal Intraoperative Visualisation-A Narrative Review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Review
  8. Review
  9. Review
  10. Article
  11. [Digital twins in uro-oncology].Urologie (Heidelberg, Germany) · 2026
    Review
  12. Review
  13. Perception-first digital twin for augmented reality microsurgery.International journal of computer assisted radiology and surgery · 2026
    Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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.

Lisa AsciakDepartment of Biomedical Engineering, Wolfson Centre, University of Strathclyde, Glasgow, UK.ORCID http://orcid.org/0009-0008-8285-198X
Justicia KyeremehDepartment of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Xichun LuoCentre for Precision Manufacturing, DMEM, University of Strathclyde, Glasgow, UK.
Asimina KazakidiDepartment of Biomedical Engineering, Wolfson Centre, University of Strathclyde, Glasgow, UK.ORCID http://orcid.org/0000-0001-7124-4123
Patricia ConnollyDepartment of Biomedical Engineering, Wolfson Centre, University of Strathclyde, Glasgow, UK.
Frederic PicardDepartment of Biomedical Engineering, Wolfson Centre, University of Strathclyde, Glasgow, UK.
Kevin O'NeillDepartment of Neurosurgery, Division of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK.
Sotirios A TsaftarisImaging, Data and Communications, The University of Edinburgh, EH9 3FG, Edinburgh, UK.
Grant D StewartDepartment of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Wenmiao ShuDepartment of Biomedical Engineering, Wolfson Centre, University of Strathclyde, Glasgow, UK. will.shu@strath.ac.uk.ORCID http://orcid.org/0000-0002-1220-361X

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/T024844/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W004860/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X033686/1
6 · The paper itself

Abstract

Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to virtually replicate patient-specific interventions whilst providing real-time updates to clinicians. This perspective introduces the term Digital Twin-Assisted Surgery and discusses its potential to improve surgical precision and outcome, along with key challenges for successful clinical translation.

Identifiers

PMID39815013
PMCPMC11736137

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.