Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
Sigmoidoscopy is a diagnostic procedure that uses a flexible sigmoidoscope equipped with a light source and camera to examine the rectum and sigmoid colon. The procedure involves inserting the tube through the anus...

Inflammatory Bowel Disease V: Surgical Management

Inflammatory Bowel Disease V: Surgical Management

Surgical interventions for inflammatory bowel disease (IBD), which includes ulcerative colitis and Crohn's disease, are essential in managing symptoms and addressing complications. The selection of surgical procedures is contingent upon the specific conditions and complications that stem from these illnesses.
Here are some common surgical interventions for IBD:

You might also read

Related Articles

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

Sort by

Same author

Socioeconomic status and cognitive function in older adults: the mediating roles of social activity and loneliness in three aging cohorts.

BMC public health·2026

Same author

Disruption of dynactin complex function in intellectual disability.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Resveratrol suppresses GATA4/Sortilin pathway to attenuate vascular smooth muscle cell senescence-associated secretory phenotype and vascular aging-related atherosclerosis.

Cellular signalling·2026

Same author

Investigating the utilization of LIME-enhanced AI and generated data for evaluating the risks associated with radial artery puncture procedures.

Scientific reports·2026

Same author

Machine Learning-Based Accurate Full-Sib Family Assignment in Sturgeon Using Whole-Genome Sequencing Data.

International journal of molecular sciences·2026

Same author

Investigating the double-edged sword effect of GenAI use on international students' school adjustment.

Frontiers in psychology·2026

Search research articles

Related Experiment Video

Updated: Jul 1, 2025

Postoperative Ileus Murine Model

Postoperative Ileus Murine Model

Published on: July 12, 2024

Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery.

Cheng-Mao Zhou¹, HuiJuan Li², Qiong Xue²

¹Big Data and Artificial Intelligence Research Group, Department of Anaesthesiology and Nursing, Central People's Hospital of Zhanjiang, Zhanjiang, Guangdong, China.

|March 5, 2024

Summary

This summary is machine-generated.

Machine learning models can predict postoperative intestinal obstruction in laparoscopic colorectal cancer patients. Opioid use, anesthesia duration, and body weight are key risk factors, with XGB and Decision Tree algorithms showing the best predictive performance.

Keywords:

AUC Deep learning Machine learning Opioids POI Prediction XGB

More Related Videos

Functional Assessment of Intestinal Motility and Gut Wall Inflammation in Rodents: Analyses in a Standardized Model of Intestinal Manipulation

Functional Assessment of Intestinal Motility and Gut Wall Inflammation in Rodents: Analyses in a Standardized Model of Intestinal Manipulation

Published on: September 11, 2012

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

Related Experiment Videos

Last Updated: Jul 1, 2025

Postoperative Ileus Murine Model

Postoperative Ileus Murine Model

Published on: July 12, 2024

Functional Assessment of Intestinal Motility and Gut Wall Inflammation in Rodents: Analyses in a Standardized Model of Intestinal Manipulation

Functional Assessment of Intestinal Motility and Gut Wall Inflammation in Rodents: Analyses in a Standardized Model of Intestinal Manipulation

Published on: September 11, 2012

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

Area of Science:

Surgical Oncology
Artificial Intelligence in Medicine
Machine Learning

Background:

Postoperative intestinal obstruction (POI) is a significant complication following laparoscopic colorectal cancer surgery.
Accurate prediction of POI risk is crucial for individualized prevention and treatment strategies.

Purpose of the Study:

To develop and validate an artificial intelligence-based predictive model for postoperative intestinal obstruction in patients undergoing laparoscopic colorectal cancer surgery.
To identify key risk factors contributing to the development of POI.

Main Methods:

A predictive model was constructed using machine learning and deep learning algorithms in Python.
Subjects were divided into training (70%) and testing (30%) sets.
Model performance was evaluated using metrics including AUC, accuracy, precision, recall, and F1 scores.

Main Results:

Opioid use, anesthesia duration, and body weight were identified as the top three risk factors for POI.
XGBoost (XGB) and Decision Tree algorithms demonstrated the highest accuracy (0.807) and precision (0.500).
Gradient Boosting and XGB algorithms achieved the best AUC values (0.678 and 0.638, respectively).

Conclusions:

XGBoost and Decision Tree are the most effective algorithms for predicting ileus risk after laparoscopic colorectal cancer surgery.
This AI-driven approach offers novel insights and supports clinical decision-making for managing POI.
The study highlights the potential of machine learning to improve patient outcomes in colorectal cancer care.