AIMC Topic: Colonoscopy
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CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.
Scientific data
Aug 7, 2025
Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by reducing manual workload and enhancing procedural efficiency. However, the development of robust AI algorithms is hindered by limited access to high-quali...
Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).
BMC cancer
Jul 29, 2025
BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five-year survival rate from CRC is only 10% when discovered at a late stage, but can exceed 90% if diagnosed early. Symptoms related to CRC can be non-sp...
Mapping the colon through the colonoscope's coordinates - The Copenhagen Colonoscopy Coordinate Database.
Scientific data
Jul 10, 2025
Colonoscopy is the leading endoscopic technique when it comes to implementing artificial intelligence-based tools to optimize the procedure. However, no database consisting of the colonoscope's coordinates exists, allowing for a mapping with timestam...
ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection.
Journal of cancer research and clinical oncology
Jul 9, 2025
BACKGROUND: Colon cancer remains a leading cause of cancer-related mortality globally, highlighting the urgent need for advanced diagnostic methods to improve early detection and patient outcomes.
A novel approach to overcome black box of AI for optical diagnosis in colonoscopy.
Scientific reports
Jul 1, 2025
Accurate real-time optical diagnosis that distinguishes neoplastic from non-neoplastic colorectal lesions during colonoscopy can lower the costs of pathological assessments, prevent unnecessary polypectomies, and help avoid adverse events. Using a mu...
Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.
Journal of clinical gastroenterology
Jul 1, 2025
Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk patients for colorectal neoplasia, and screening for colorectal cancer. In the United States, over 14 million colonoscopies are performed annually, with...
The implementation of computer-aided detection in an initial endoscopy training improves the quality measures of trainees' future colonoscopies: a retrospective cohort study.
Surgical endoscopy
Jun 30, 2025
INTRODUCTION: The implementation of computer-aided detection (CADe) systems has resulted in a growing number of young endoscopists being trained using AI-enhanced devices. The potential impact of AI-enhanced training on the trainees' future performan...
Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting.
Journal of biomedical informatics
Jun 10, 2025
OBJECTIVE: To systematically evaluate large language models (LLMs) for automated information extraction from gastroscopy and colonoscopy reports through prompt engineering, addressing their ability to extract structured information, recognize complex...
Deep learning model applied to real-time delineation of colorectal polyps.
BMC medical informatics and decision making
Jun 4, 2025
BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy across medical fields. Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical setting...
Artificial intelligence alert system based on intraluminal view for colonoscopy intubation.
Scientific reports
Apr 28, 2025
Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perforation. There is still a lack of quantitative analysis methods for red-out views. We aimed to develop an artificial intelligence (AI)-based system to...
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