AIMC Topic: Endoscopy
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[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].
Harefuah
Dec 1, 2024
The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel AI-based technologies being deployed to aid clinical teams in areas like interpreting medical images, understanding pathology, determining diagnosis, ...
DACVNet: Dual Attention Concatenation Volume Net for Stereo Endoscope 3D Reconstruction.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navigation, and augmented reality visualization. Stereo scope based depth estimation which involves capturing two images from different viewpoints, is a pr...
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
Jul 1, 2024
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
Jul 1, 2024
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
May 6, 2024
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...
Commentary on: Robot-Assisted Latissimus Dorsi Flap Harvest in Partial Breast Reconstruction: Comparison With Endoscopic and Conventional Approaches.
Aesthetic surgery journal
Dec 14, 2023
Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Implications for Clinical Trials.
Journal of Crohn's & colitis
Aug 21, 2023
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
Jun 20, 2023
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
Jun 1, 2023
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
Apr 1, 2023
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...
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