AIMC Topic: Endoscopic Mucosal Resection

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A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Apr 30, 2020
BACKGROUND: Accurate delineation of cancer margins is critical for endoscopic curative resection. This study aimed to train and validate real-time fully convolutional networks for delineating the resection margin of early gastric cancer (EGC) under i...
Margins of Excision Endoscopic Mucosal Resection Narrow Band Imaging Indigo Carmine Stomach Neoplasms Humans Prognosis Deep Learning Early Detection of Cancer Gastroscopy
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Neoplasm Invasiveness Area Under Curve Neural Networks, Computer Humans Sensitivity and Specificity Endoscopic Mucosal Resection Artificial Intelligence Reproducibility of Results Male Japan Retrospective Studies Esophageal Neoplasms Aged Middle Aged Female Aged, 80 and over Outcome Assessment, Health Care Deep Learning Esophageal Squamous Cell Carcinoma Preoperative Care
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

Gastrointestinal endoscopy Nov 16, 2018
BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa of the stomach regardless of lymph node involvement. The accurate pre...
Gastric Mucosa Diagnosis, Computer-Assisted Female ROC Curve Endoscopic Mucosal Resection Stomach Neoplasms Humans Image Processing, Computer-Assisted Neoplasm Invasiveness Sensitivity and Specificity Serous Membrane Neural Networks, Computer Carcinoma Male Artificial Intelligence Gastrectomy Gastroscopy
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Artificial intelligence for early gastric cancer boundary recognition in NBI and nF-NBI endoscopic images.

Scandinavian journal of gastroenterology Jul 1, 2025
OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete resection during endoscopic submucosal dissection. This study aimed to develop deep learning-based models for EGC boundary detection in narrow-band imagin...
Neural Networks, Computer Artificial Intelligence Female Stomach Neoplasms Humans Gastroscopy Margins of Excision Endoscopic Mucosal Resection Narrow Band Imaging Male Deep Learning Early Detection of Cancer
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Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion.

Medical image analysis Jul 1, 2025
Endoscopic Submucosal Dissection (ESD) constitutes a firmly well-established technique within endoscopic resection for the elimination of epithelial lesions. Dissection trajectory prediction in ESD videos has the potential to strengthen surgical skil...
Clinical Competence Humans Video Recording Machine Learning Endoscopic Mucosal Resection
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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 ...
Colonic Polyps Endoscopic Mucosal Resection Machine Learning Risk Factors Humans Risk Assessment Colorectal Neoplasms Colonoscopy Follow-Up Studies Neoplasm Recurrence, Local
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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...
Aged Adult Colorectal Neoplasms Male Retrospective Studies Female Risk Factors Logistic Models Predictive Value of Tests Neoplasm Recurrence, Local Colonic Polyps Middle Aged Risk Assessment Colonoscopy Humans Machine Learning Prospective Studies Endoscopic Mucosal Resection
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Worldwide productivity and research trend of publications concerning intestinal polyps: A bibliometric study.

Medicine Jan 12, 2024
There is a significant relationship between intestinal polyps and colorectal cancer, and in recent years, research on intestinal polyps has been rapidly developing around the world. However, there is still a lack of adequate quantification and analys...
Bibliometrics Ambulatory Care Facilities Endoscopic Mucosal Resection Intestinal Polyps Humans Artificial Intelligence
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Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer.

World journal of gastroenterology Jun 28, 2022
BACKGROUND: Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) in early gastric cancer (EGC) patients. There are limited studies on estimating the bleeding risk after ESD using an artificial intelligence system.
Gastric Mucosa Endoscopic Mucosal Resection Stomach Neoplasms Deep Learning Postoperative Hemorrhage Humans Artificial Intelligence Retrospective Studies
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Colorectal endoscopic submucosal dissection: a robotic system is coming.

Gastrointestinal endoscopy Aug 1, 2019
Humans Colorectal Neoplasms Pilot Projects Robotics Robotic Surgical Procedures Endoscopic Mucosal Resection
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