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 III: Video Capsule Endoscopy

Endoscopic Procedures III: Video Capsule Endoscopy

Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...

You might also read

Related Articles

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

Sort by

Same author

The Role of Particulate Matter in Surgical Site Infection Pathogenesis: A Scoping Review.

The Journal of hospital infection·2026

Same author

SBAS presidential address: A surgeon-scientist's journey from haptic science to digital performance metrics.

American journal of surgery·2026

Same author

Regulating digital surgery to balance safety and innovation: a SAGES white paper.

Surgical endoscopy·2026

Same author

What are the ethical, legal and social considerations for recording, sharing and utilizing surgical videos? A thematic analysis and framework to guide stakeholders.

Surgical endoscopy·2026

Same author

Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.

Surgical endoscopy·2026

Same author

CT-override: endoscopic updates to preoperative anatomical models during ablative surgery.

International journal of computer assisted radiology and surgery·2026

Search research articles

Related Experiment Video

Updated: Oct 29, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

SAGES consensus recommendations on an annotation framework for surgical video.

Ozanan R Meireles¹, Guy Rosman^2,3, Maria S Altieri⁴

¹Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC460, Boston, MA, 02114, USA. ozmeireles@mgh.harvard.edu.

Surgical Endoscopy

|July 7, 2021

Summary

Standardized surgical video annotation is crucial for machine learning. This study establishes consensus recommendations for a general framework, enabling better algorithm assessment and collaboration.

Keywords:

Annotation Artificial intelligence Computer vision Consensus Minimally invasive surgery Surgical video

More Related Videos

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

Related Experiment Videos

Last Updated: Oct 29, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

Area of Science:

Medical Informatics
Computer Vision in Surgery
Machine Learning for Healthcare

Background:

Growing interest in machine learning for surgical video analysis highlights a lack of standardized annotation methods.
Current annotation practices hinder algorithm assessment and multi-institutional collaboration in surgical research.

Purpose of the Study:

To establish consensus-based recommendations for surgical video data annotation.
To create a foundational framework for standardizing surgical video annotation.

Main Methods:

Formation of four working groups (temporal models, actions/tasks, anatomy, software/data structure) comprising clinicians, engineers, and data scientists.
Utilized a modified Delphi process to develop a consensus survey based on group recommendations.
Conducted three rounds of Delphi to achieve consensus on annotation recommendations.

Main Results:

Consensus was reached on recommendations for surgical video annotation across all domains.
A hierarchical framework for annotating temporal events in surgical procedures was established.

Conclusions:

The presented consensus recommendations provide a foundational framework for standardizing surgical video annotation.
Standardization is critical for developing diverse datasets, performance benchmarks, and fostering collaboration in surgical machine learning research.