Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 12, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
06:39

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Real-time anatomy recognition in laparoscopic liver resection using video segmentation AI model.

Haisu Tao1,2,3, Kangwei Guo1,2,3, Yijun Yang4

  • 1Department of Hepatobiliary Surgery I, General Surgery Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

NPJ Digital Medicine
|July 10, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ITLN1, orchestrated by the IFNγ-IRF1 axis, suppresses hepatocellular carcinoma proliferation via ERK1/2 activation.

Translational oncology·2025
Same author

Laparoscopic duodenum-preserving pancreatic head resection guided by the two-stage indocyanine green fluorescence imaging.

Hepatobiliary surgery and nutrition·2025
Same author

Fully automatic bile duct segmentation in magnetic resonance cholangiopancreatography for biliary surgery planning using deep learning.

European journal of radiology·2025
Same author

Development and validation of an interpretable machine learning model for standard spleen volume prediction.

Quantitative imaging in medicine and surgery·2025
Same author

Efficacy of combined TAE, HAIC, targeted, and immunotherapy in unresectable HCC: a multicenter propensity score matching study.

Scientific reports·2025
Same author

Advancing the Optimization of Indocyanine Green Administration Strategies for Fluorescence Cholangiography: In Reply to Toro and colleagues.

Journal of the American College of Surgeons·2025

Vivim, an AI model using Mamba architecture, enhances surgical navigation for laparoscopic liver resection (LLR) by accurately segmenting critical intrahepatic structures like the Glissonean pedicle and hepatic vein.

Area of Science:

  • Medical image analysis
  • Computer vision in surgery
  • Artificial intelligence in healthcare

Background:

  • Laparoscopic liver resection (LLR) faces challenges due to complex intrahepatic vascular anatomy and limited visualization, increasing intraoperative injury risk.
  • Accurate identification of anatomical structures is crucial for safe and effective LLR procedures.

Purpose of the Study:

  • To develop and evaluate Vivim, a novel video segmentation model based on the Mamba architecture, for improved anatomical structure identification during LLR.
  • To assess Vivim's performance against existing state-of-the-art models in segmenting the Glissonean pedicle (GP) and hepatic vein (HV).

Main Methods:

  • Vivim, a Mamba-based video segmentation model, was developed integrating long-range dependency modeling with recurrent network efficiency.

More Related Videos

Laparoscopic Anatomical Resection of the Right Anterior Lobe Based on the Laennec Capsule Technique
06:11

Laparoscopic Anatomical Resection of the Right Anterior Lobe Based on the Laennec Capsule Technique

Published on: May 2, 2025

Related Experiment Videos

Last Updated: Jul 12, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
06:39

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Laparoscopic Anatomical Resection of the Right Anterior Lobe Based on the Laennec Capsule Technique
06:11

Laparoscopic Anatomical Resection of the Right Anterior Lobe Based on the Laennec Capsule Technique

Published on: May 2, 2025

  • The model was trained and evaluated on a multicenter dataset of 15,865 annotated frames from 45 surgical videos.
  • Performance was benchmarked against several image- and video-based models using Dice scores and inference speed.

    • Main Results:

    • Vivim outperformed baseline models, achieving Dice scores of 0.71 (single-target) and 0.66 (multi-target) for GP and HV segmentation.
    • The model demonstrated real-time inference at 25 frames per second and strong generalization on external datasets.
    • Clinical validation by 13 surgeons confirmed Vivim's ability to improve recognition speed and accuracy in surgical navigation.

    Conclusions:

    • Vivim, a Mamba-based AI framework, shows significant promise for AI-assisted surgical navigation in LLR, improving intraoperative decision-making.
    • The model offers a potential solution to bridge the gap between laboratory precision and clinical reliability in complex surgical procedures.
    • Further development is needed to address challenges in differentiating visually similar vascular structures.