AIMC Topic: Gastrointestinal Diseases

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A Machine Learning Classification Model for Gastrointestinal Health in Cancer Survivors: Roles of Telomere Length and Social Determinants of Health.

International journal of environmental research and public health Dec 19, 2024
BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors, impacting their quality of life, nutrition, daily function, and mortality. GI health screening is crucial for preventing and managing this distress. ...
Machine Learning Female Humans Male Middle Aged Aged Adult Social Determinants of Health Cancer Survivors Nutrition Surveys Gastrointestinal Diseases Telomere Health Status
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Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI.

Computers in biology and medicine Dec 7, 2024
GI abnormalities significantly increase mortality rates and impose considerable strain on healthcare systems, underscoring the essential requirement for rapid detection, precise diagnosis, and efficient strategic treatment. To develop a CAD system, t...
Deep Learning Image Interpretation, Computer-Assisted Gastrointestinal Diseases Humans Databases, Factual
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Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images.

Sensors (Basel, Switzerland) Dec 2, 2024
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect various gastrointestinal diseases using a new ResNet50*-based deep feature engineering model with endoscopy images. The novelty of this work is the develop...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Gastrointestinal Diseases Algorithms Endoscopy
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Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques.

BMC medical imaging Nov 12, 2024
The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative colitis, polyps, and esophagitis, are crucial for timely treatment. Traditional imaging techniques often rely on manual interpretation, which is subject to varia...
Gastrointestinal Diseases Humans Neural Networks, Computer Deep Learning Image Interpretation, Computer-Assisted
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The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease.

Gastrointestinal endoscopy clinics of North America Oct 29, 2024
Artificial intelligence (AI) is a rapidly evolving presence in all fields and industries, with the ability to both improve quality and reduce the burden of human effort. Gastroenterology is a field with a focus on diagnostic techniques and procedures...
Big Data Gastrointestinal Diseases Artificial Intelligence Gastroenterology Humans
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A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system.

Medical & biological engineering & computing Sep 30, 2024
Recent advancements in deep learning have significantly improved the intelligent classification of gastrointestinal (GI) diseases, particularly in aiding clinical diagnosis. This paper seeks to review a computer-aided diagnosis (CAD) system for GI di...
Diagnosis, Computer-Assisted Deep Learning Gastrointestinal Diseases Humans Algorithms
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Artificial Intelligence in Gastrointestinal Endoscopy.

Gastroenterology clinics of North America Sep 23, 2024
Recent advancements in artificial intelligence (AI) have significantly impacted the field of gastrointestinal (GI) endoscopy, with applications spanning a wide range of clinical indications. The central goals for AI in GI endoscopy are to improve end...
Humans Artificial Intelligence Endoscopy, Gastrointestinal Algorithms Gastrointestinal Diseases
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Review of Deep Learning Performance in Wireless Capsule Endoscopy Images for GI Disease Classification.

F1000Research Sep 23, 2024
Wireless capsule endoscopy is a non-invasive medical imaging modality used for diagnosing and monitoring digestive tract diseases. However, the analysis of images obtained from wireless capsule endoscopy is a challenging task, as the images are of lo...
Image Processing, Computer-Assisted Gastrointestinal Diseases Humans Capsule Endoscopy Deep Learning
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Next-generation pediatric care: nanotechnology-based and AI-driven solutions for cardiovascular, respiratory, and gastrointestinal disorders.

World journal of pediatrics : WJP Aug 28, 2024
BACKGROUND: Global pediatric healthcare reveals significant morbidity and mortality rates linked to respiratory, cardiac, and gastrointestinal disorders in children and newborns, mostly due to the complexity of therapeutic management in pediatrics an...
Respiration Disorders Child Nanotechnology Drug Delivery Systems Humans Cardiovascular Diseases Artificial Intelligence Gastrointestinal Diseases Infant, Newborn Nanomedicine Respiratory Tract Diseases Pediatrics
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Unsupervised machine learning highlights the challenges of subtyping disorders of gut-brain interaction.

Neurogastroenterology and motility Aug 9, 2024
BACKGROUND: Unsupervised machine learning describes a collection of powerful techniques that seek to identify hidden patterns in unlabeled data. These techniques can be broadly categorized into dimension reduction, which transforms and combines the o...
Brain-Gut Axis Unsupervised Machine Learning Gastrointestinal Diseases Humans
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