Evidence map›Paper›PMID 40746038›Full record

ArticleJournal of hepato-biliary-pancreatic sciences2025

Artificial Intelligence-Enhanced Navigation for Early Detection of Inferior Vena Cava and Root of the Major Hepatic Veins During Robotic Hepatectomy.

Yutaka Nakano, Yosuke Uematsu, Yuta Abe, Masashi Takeuchi, Minoru Kitago, Yasushi Hasegawa, Shutaro Hori, Masayuki Tanaka, Hirofumi Kawakubo, Yuko Kitagawa

Abstract read
In one paragraph

Article in Journal of hepato-biliary-pancreatic sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Yutaka NakanoDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Yosuke UematsuDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0009-0004-8694-6549
Yuta AbeDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Masashi TakeuchiDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3797-432X
Minoru KitagoDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Yasushi HasegawaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Shutaro HoriDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Masayuki TanakaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Hirofumi KawakuboDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Yuko KitagawaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nakano and colleagues developed an artificial intelligence-enhanced navigation system for robotic hepatectomy, enabling early identification of the inferior vena cava and major hepatic vein roots. Using semantic segmentation on 1030 annotated images, the model showed reliable performance and may help reduce complications, enhance safety, and support minimally invasive liver surgery.

Indexed as

Artificial IntelligenceHepatectomyHepatic VeinsRobotic Surgical ProceduresSurgery, Computer-AssistedVena Cava, InferiorHumansartificial intelligenceearly detectioninferior vena cavamajor hepatic veinsrobotic hepatectomy

Identifiers

PMID40746038
PMCPMC12559869

What OpenQuestion holds

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LicenceCC BY
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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.