AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Gastrointestinal Tract

Showing 21 to 30 of 69 articles

Clear Filters

The Association of Waist Circumference with the Prevalence and Survival of Digestive Tract Cancer in US Adults: A Population Study Based on Machine Learning Methods.

Computational and mathematical methods in medicine
AIMS: This paper aims to investigate the relationship of waist circumference (WC) with digestive tract cancer morbidity and mortality.

RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy.

IEEE journal of translational engineering in health and medicine
: The emergence of wireless capsule endoscopy (WCE) has presented a viable non-invasive mean of identifying gastrointestinal diseases in the field of clinical gastroenterology. However, to overcome its extended time of manual inspection, a computer a...

Proposing Novel Data Analytics Method for Anatomical Landmark Identification from Endoscopic Video Frames.

Journal of healthcare engineering
BACKGROUND: The anatomical landmarks contain the characteristics that are used to guide the gastroenterologists during the endoscopy. The expert can also ensure the completion of examination with the help of the anatomical landmarks. Automatic detect...

Design and implementation of a highly integrated dual hemisphere capsule robot.

Biomedical microdevices
To achieve cancer screening in any appointed position in 3D regions of the gastrointestinal (GI) tract such as esophagus, stomach and colon, a highly integrated dual hemisphere capsule robot (DHCR) with a novel three-layer nested structure is propose...

Design and Control of a Magnetically-Actuated Capsule Robot With Biopsy Function.

IEEE transactions on bio-medical engineering
OBJECTIVE: Wireless capsule endoscopy has been well used for gastrointestinal (GI) tract diagnosis. However, it can only obtain images and cannot take samples of GI tract tissues. In this study, we designed a magnetically-actuated biopsy capsule (MAB...

Incorporating Artificial Intelligence Into Gastroenterology Practices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images.

Computers in biology and medicine
Despite being widely utilized to help endoscopists identify gastrointestinal (GI) tract diseases using classification and segmentation, models based on convolutional neural network (CNN) have difficulties in distinguishing the similarities among some...