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

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

PMC · DOI: 10.1002/jhbp.12195 · Journal of Hepato-Biliary-Pancreatic Sciences · 2025-07-31

## TL;DR

This paper introduces an AI system to help surgeons identify key blood vessels during robotic liver surgery, improving safety and outcomes.

## Contribution

A novel AI-enhanced navigation system for early detection of critical vascular structures during robotic hepatectomy.

## Key findings

- The AI model achieved reliable performance using semantic segmentation on 1030 annotated images.
- The system enables early identification of the inferior vena cava and major hepatic vein roots.
- It may reduce complications and support safer, minimally invasive liver surgery.

## 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.

## Full-text entities

- **Diseases:** bleeding (MESH:D006470), IVC (MESH:C563013)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12559869/full.md

## References

3 references — full list in the complete paper: https://tomesphere.com/paper/PMC12559869/full.md

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Source: https://tomesphere.com/paper/PMC12559869