Evidence map›Paper›PMID 34944887›Full record

ReviewCancers2021

Augmented Reality and Image-Guided Robotic Liver Surgery.

Fabio Giannone, Emanuele Felli, Zineb Cherkaoui, Pietro Mascagni, Patrick Pessaux

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Advanced robotic liver surgery.Surgical endoscopy · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Non-rigid image-volume registration for human livers in laparoscopic surgery.Quantitative imaging in medicine and surgery · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  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

5 authors.

Fabio GiannoneDepartment of Visceral and Digestive Surgery, University Hospital of Strasbourg, 1 Place de l'Hôpital, 67100 Strasbourg, France.
Emanuele FelliDepartment of Visceral and Digestive Surgery, University Hospital of Strasbourg, 1 Place de l'Hôpital, 67100 Strasbourg, France.ORCID 0000-0002-6510-1457
Zineb CherkaouiDepartment of Visceral and Digestive Surgery, University Hospital of Strasbourg, 1 Place de l'Hôpital, 67100 Strasbourg, France.
Pietro MascagniUniversity Hospital Institute (IHU), Institute of Image-Guided Surgery, University of Strasbourg, 1 Place de l'Hôpital, 67100 Strasbourg, France.
Patrick PessauxDepartment of Visceral and Digestive Surgery, University Hospital of Strasbourg, 1 Place de l'Hôpital, 67100 Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence makes surgical resection easier and safer, and, at the same time, can improve oncological results. The robotic system fits perfectly with these more or less diffused technologies, and it seems that this benefit is mutual. In liver surgery, robotic systems help surgeons to localize tumors and improve surgical results with well-defined preoperative planning or increased intraoperative detection. Furthermore, they can balance the absence of tactile feedback and help recognize intrahepatic biliary or vascular structures during parenchymal transection. Some of these systems are well known and are already widely diffused in open and laparoscopic hepatectomies, such as indocyanine green fluorescence or ultrasound-guided resections, whereas other tools, such as Augmented Reality, are far from being standardized because of the high complexity and elevated costs. In this paper, we review all the experiences in the literature on the use of artificial intelligence systems in robotic liver resections, describing all their practical applications and their weaknesses.

Indexed as

artificial intelligenceaugmented realityimage-guided surgeryliver surgeryrobotic

Identifiers

PMID34944887
PMCPMC8699460

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.