AIMC Topic: Endoscopy

Clear Filters Showing 281 to 290 of 326 articles

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In this work, we assess the impact of self-supervised learning (SSL) approaches on the detection of gastritis atrophy (GA) and intestinal metaplasia (IM) conditions. GA and IM are precancerous gastric lesions. Detecting these lesions is crucial to in...

Grade classification of nasal obstruction from endoscopy videos using machine learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approximately one-third of the adult population. Consequently, diagnosis typically requires a combination of medical imaging techniques and tests, as NO is oft...

ATN-Res2Unet: an advanced deep learning network for the elimination of saturation artifacts in endoscopy optical coherence tomography.

Optics express
Endoscopic optical coherence tomography (OCT) possesses the capability to non-invasively image internal lumens; however, it is susceptible to saturation artifacts arising from robust reflective structures. In this study, we introduce an innovative de...

Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Implications for Clinical Trials.

Journal of Crohn's & colitis
Artificial intelligence shows promise for clinical research in inflammatory bowel disease endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and inflammatory bowel disease clinical trials. Emerging artificial inte...

Synthetic seismocardiogram generation using a transformer-based neural network.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To design and validate a novel deep generative model for seismocardiogram (SCG) dataset augmentation. SCG is a noninvasively acquired cardiomechanical signal used in a wide range of cardivascular monitoring tasks; however, these approaches...

[The Digital Transformation(Dx)of Endoscopic Examinations].

Gan to kagaku ryoho. Cancer & chemotherapy
Artificial intelligence(AI)and information and communication technology(ICT)are beginning to be used in the digital transformation of endoscopic images. In Japan, several AI systems for digestive organ endoscopy have been approved as programmed medic...

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

Gastrointestinal endoscopy clinics of North America
The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy. The majority of preclinical studies have been undertaken in adults, with the greatest progress being made in the context of colorectal cancer screeni...