AIMC Topic: Colonic Polyps
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Development and validation of the Open-Source Automatic Bowel Preparation Scale.
Gastrointestinal endoscopy
Jun 1, 2025
BACKGROUND AND AIMS: Insufficient bowel preparation accounts for up to 42% of missed adenomas in colonoscopy. However, major analysis programs found no correlation between adenoma detection rate and the human-rated Boston Bowel Preparation Scale (BBP...
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification.
IEEE journal of biomedical and health informatics
Jun 1, 2025
A major challenge in applying deep learning to medical imaging is the paucity of annotated data. This study explores the use of synthetic images for data augmentation to address the challenge of limited annotated data in colonoscopy lesion classifica...
Optimizing Pix2Pix GAN With Attention Mechanisms for AI-Driven Polyp Segmentation in IoMT-Enabled Smart Healthcare.
IEEE journal of biomedical and health informatics
Jun 1, 2025
This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images, deploying an enhanced Pix2Pix Generative Adversarial Network (GAN) equipped with an integrated attention mechanism in the discriminator. Addressing p...
Polyp-Size: A Precise Endoscopic Dataset for AI-Driven Polyp Sizing.
Scientific data
May 31, 2025
Colorectal cancer often arises from precancerous polyps, where accurate size assessment is vital for clinical decisions but challenged by subjective methods. While artificial intelligence (AI) has shown promise in improving the accuracy of polyp size...
Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.
World journal of gastroenterology
May 21, 2025
Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscopic mucosal resection (EMR) is a common treatment, but recurrence rates remain high. Traditional surveillance strategies rely on polyp characteristics ...
[Role of Artificial Intelligence in Improving Quality of Colonoscopy].
The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi
Apr 25, 2025
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy is an effective tool for screening and preventing colorectal cancer through the early detection of pre-cancerous lesions, many factors influence the qu...
Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.
World journal of gastroenterology
Mar 21, 2025
BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer. Endoscopic mucosal resection (EMR) is a common polypectomy pro...
[Effect of an artificial intelligence-assisted recognition system on colonoscopy quality].
Zhonghua nei ke za zhi
Nov 1, 2024
To explore the value of the artificial intelligence (AI)-assisted recognition system in the detection quality of colonoscopy. From January 2023, the data on 700 patients who underwent colonoscopy in the Digestive Endoscopy Center of the First Affil...
Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.
Cancer medicine
Sep 1, 2024
BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical diagnosis remains challenges. Our aim was to investigate the feasibility of hyperspectral imaging (HSI) for identifying colorectal polyp properties a...
Integrating artificial intelligence techniques for advancements in colorectal cancer management: navigating past and predicting future direction.
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
Artificial Intelligence (AI) in the last few years has emerged as a valuable tool in managing colorectal cancer, revolutionizing its management at different stages. In early detection and diagnosis, AI leverages its prowess in imaging analysis, scrut...
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