AIMC Topic: Endoscopy
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Soft and self constrained clustering for group-based labeling.
Medical image analysis
May 12, 2021
When using deep neural networks in medical image classification tasks, it is mandatory to prepare a large-scale labeled image set, and this often requires significant effort by medical experts. One strategy to reduce the labeling cost is group-based ...
Recent progress of robotic head and neck surgery using a flexible single port robotic system.
Journal of robotic surgery
May 3, 2021
We performed robotic neck surgery through a transoral or retroauricular approach (RA) using the DaVinci SP and analyzed our experiences to evaluate the feasibility and safety of this system for performing RA neck surgeries. A total of 63 patients wer...
May the force be with you: will artificial intelligence take over traditional endoscopy?
Endoscopy
Apr 22, 2021
Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study.
Journal of medical Internet research
Apr 15, 2021
BACKGROUND: In a previous study, we examined the use of deep learning models to classify the invasion depth (mucosa-confined versus submucosa-invaded) of gastric neoplasms using endoscopic images. The external test accuracy reached 77.3%. However, mo...
Automatic tip detection of surgical instruments in biportal endoscopic spine surgery.
Computers in biology and medicine
Apr 14, 2021
BACKGROUND: Recent advances in robotics and deep learning can be used in endoscopic surgeries and can provide numerous advantages by freeing one of the surgeon's hands. This study aims to automatically detect the tip of the instrument, localize a poi...
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance.
Scientific reports
Apr 8, 2021
Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examinations. We investigated the ability of AI to detect superficial esophageal squamous cell carcinoma (ESCC) from esophagogastroduodenoscopy (EGD) videos...
Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images.
Auris, nasus, larynx
Apr 4, 2021
OBJECTIVE: We examined whether artificial intelligence (AI) used with the novel digital image enhancement system modalities (CLARA+CHROMA, SPECTRA A, and SPECTRA B) could distinguish the cholesteatoma matrix, cholesteatoma debris, and normal middle e...
Artificial intelligence: finding the intersection of predictive modeling and clinical utility.
Gastrointestinal endoscopy
Mar 7, 2021
A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease.
International journal of environmental research and public health
Mar 2, 2021
Gastroesophageal reflux disease (GERD) is a common disease with high prevalence, and its endoscopic severity can be evaluated using the Los Angeles classification (LA grade). This paper proposes a deep learning model (i.e., GERD-VGGNet) that employs ...
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