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Related Experiment Video

Updated: Jul 2, 2026

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
12:45

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer

Published on: February 12, 2022

Enhancing anatomical recognition by surgeons during pelvic lymph node dissection using artificial intelligence.

Daichi Kitaguchi1,2, Shin Takenaka2,3, Yasukazu Nakanishi4

  • 1Department of Colorectal Surgery, National Cancer Center Hospital East, Kashiwa, Japan.

NPJ Digital Medicine
|June 30, 2026
PubMed
Summary

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This summary is machine-generated.

An artificial intelligence (AI) model improved surgeons' ability to identify key pelvic anatomical structures during pelvic lymph node dissection (PLND) procedures. This AI tool enhances surgical precision and safety in complex pelvic surgeries.

Area of Science:

  • Surgical anatomy
  • Medical artificial intelligence
  • Surgical education

Background:

  • The lateral pelvis is complex and variable, posing challenges for pelvic lymph node dissection (PLND).
  • Accurate identification of anatomical structures is crucial for safe and effective PLND in colorectal, gynecological, and urological surgeries.

Purpose of the Study:

  • To develop an artificial intelligence (AI) model for identifying key anatomical structures relevant to PLND.
  • To evaluate if AI assistance improves surgeons' recognition of pelvic anatomy during PLND.

Main Methods:

  • An AI model was trained on over 23,000 images from 293 PLND videos.
  • 36 surgeons reviewed 640 video snippets, with and without AI assistance.
  • Performance was evaluated using Dice similarity coefficients and surgeon sensitivity/specificity.

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Last Updated: Jul 2, 2026

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
12:45

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer

Published on: February 12, 2022

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Main Results:

  • The AI model achieved high Dice similarity coefficients for key structures (e.g., obturator nerve: 0.8654, external iliac vein: 0.8736).
  • AI assistance significantly improved surgeon sensitivity and specificity in identifying pelvic anatomical features (p < .001).
  • Improvements were observed across different surgical specialties and surgeon experience levels.

Conclusions:

  • The developed AI model shows potential for assisting surgeons in identifying critical pelvic anatomy during PLND.
  • AI-assisted surgical navigation may enhance precision and safety in complex pelvic surgeries.
  • Further research in continuous intraoperative settings is needed to confirm clinical impact.