AIMC Topic: Gastrointestinal Diseases
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Artificial Intelligence-Assisted Daily Quality Control System for the Histologic Diagnosis of Gastrointestinal Endoscopic Biopsies: A 1-Year Experience.
Archives of pathology & laboratory medicine
Jul 1, 2025
CONTEXT.—: Seegene Medical Foundation, one of the major clinical laboratories in South Korea, developed SeeDP, an artificial intelligence (AI)-based postanalytic daily quality control (QC) system that reassesses all gastrointestinal (GI) endoscopic b...
A multimodal deep learning model for detecting endoscopic images of near-infrared fluorescence capsules.
Biosensors & bioelectronics
Jun 15, 2025
Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. With the rapid advancement of deep learning technology, artificial intelligence (AI) has become increasingly prominent in the early detection of GI dise...
Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice.
World journal of gastroenterology
Mar 14, 2025
This article discusses the manuscript recently published in the , which explores the application of deep learning models in decision-making processes via wireless capsule endoscopy. Integrating artificial intelligence (AI) into gastrointestinal disea...
GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images.
Mathematical biosciences and engineering : MBE
Aug 15, 2024
Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool for analyzing medical images, notably in interpreting endoscopic images, due to their capacity to provide results equivalent to or exceeding those of ...
Gastrointestinal tract disease detection via deep learning based structural and statistical features optimized hexa-classification model.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Gastrointestinal tract (GIT) diseases impact the entire digestive system, spanning from the mouth to the anus. Wireless Capsule Endoscopy (WCE) stands out as an effective analytic instrument for Gastrointestinal tract diseases. Neverthele...
Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease.
World journal of gastroenterology
May 28, 2022
Given the breakthroughs in key technologies, such as image recognition, deep learning and neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to closer and deeper integration with an increasingly data-, knowl...
Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.
Radiologic clinics of North America
Nov 1, 2021
Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some of the popular artificial intelligence (AI) tasks in chest and abdominal radiology due to the wide availability of public datasets. AI algorithms have ...
Artificial intelligence and metagenomics in intestinal diseases.
Journal of gastroenterology and hepatology
Apr 1, 2021
Gut microbiota has been shown to associate with the development of gastrointestinal diseases. In the last decade, development in whole metagenome sequencing and 16S rRNA sequencing technology has dramatically accelerated the gut microbiome's research...
Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.
Journal of gastroenterology and hepatology
Apr 1, 2021
For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality cl...
[Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives].
The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi
Mar 25, 2020
Artificial intelligence using deep learning has been applied to gastrointestinal disorders for the detection, classification, and delineation of various lesion images. With the accumulation of enormous medical records, the evolution of computation po...
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