AIMC Topic: Endoscopy

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A Systematic Review of the Clinical Impact of Implementing Artificial Intelligence in Upper Aerodigestive Tract Endoscopy.

Head & neck
BACKGROUND: Endoscopy is essential in upper aerodigestive tract (UADT) examination, particularly in the early detection of laryngopharyngeal lesions. However, UADT endoscopy remains operator-dependent and lacks standardized quality metrics. Recent ad...

Design and Evaluation of an Omnidirectional Wheel-Driven Endoscope-Assisted Robotic System Based on Motion Capture Control.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In endoscopic surgery, surgeons collaborate with assistants to manipulate the endoscope and instruments, making it impossible to perform the surgery independently.

Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

Computers in biology and medicine
BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated documentation of a procedure and to provide the surgical team with real-time feedback, potentially improving surgical outcome and reducing adverse events. ...

[Three-Dimensional Reconstruction Technique and Its Application of Binocular Endoscopic Images Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
The clinical application of binocular endoscope relies primarily on the visual system of physicians to create a three-dimensional effect, but it cannot provide accurate depth information. The utilization of 3D reconstruction technology in binocular e...

Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables real-time automatic tracking of surgical instruments.

A machine learning approach to predicting postoperative recurrence in pediatric chronic rhinosinusitis: identification of key metabolic biomarkers.

American journal of otolaryngology
BACKGROUND: Pediatric chronic rhinosinusitis (CRS) is a common chronic inflammatory disease with a high recurrence rate after surgery. This study aimed to construct and validate a machine learning-based predictive model to predict the risk of postope...

Self-supervised learning framework for efficient classification of endoscopic images using pretext tasks.

PloS one
Identifying anatomical landmarks in endoscopic video frames is essential for the early diagnosis of gastrointestinal diseases. However, this task remains challenging due to variability in visual characteristics across different regions and the limite...

Artificial Intelligence in Endoscopy for Predicting Helicobacter pylori Infection: A Systematic Review and Meta-Analysis.

Helicobacter
PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (AI) based on endoscopy for detecting Helicobacter pylori (H. pylori) infection.

[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].

Harefuah
The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel AI-based technologies being deployed to aid clinical teams in areas like interpreting medical images, understanding pathology, determining diagnosis, ...

DACVNet: Dual Attention Concatenation Volume Net for Stereo Endoscope 3D Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navigation, and augmented reality visualization. Stereo scope based depth estimation which involves capturing two images from different viewpoints, is a pr...