AIMC Topic: Endoscopy, Gastrointestinal

Clear Filters Showing 51 to 60 of 161 articles

Artificial intelligence and automation in endoscopy and surgery.

Nature reviews. Gastroenterology & hepatology
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and displays to electronics connecting configurable illumination and actuation systems for robotic articulation. In addition to enabling more effective diagnostic and...

Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm.

Gut
In this study, we aimed to develop an artificial intelligence clinical decision support solution to mitigate operator-dependent limitations during complex endoscopic procedures such as endoscopic submucosal dissection and peroral endoscopic myotomy, ...

Endoscopy Training in the Age of Artificial Intelligence: Deep Learning or Artificial Competence?

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

Study on image data cleaning method of early esophageal cancer based on VGG_NIN neural network.

Scientific reports
In order to clean the mislabeled images in the esophageal endoscopy image data set, we designed a new neural network VGG_NIN. Based on the new neural network structure, we developed a method to clean the mislabeled images in the esophageal endoscopy ...

Trends in the surgical management of parapharyngeal space tumors: A single-center retrospective analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
PURPOSE: Surgery remains the mainstay treatment for parapharyngeal space (PPS) tumors. Given the rapid advance and increasing usage of endoscopic and robotic techniques, we aimed to investigate the surgical trends of PPS tumors in our institution and...

Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network.

Clinical and translational gastroenterology
INTRODUCTION: Device-assisted enteroscopy (DAE) plays a major role in the investigation and endoscopic treatment of small bowel diseases. Recently, the implementation of artificial intelligence (AI) algorithms to gastroenterology has been the focus o...

Innovations in GI-endoscopy.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology
Gastrointestinal endoscopy covers both diagnosis and therapy. Due to its diagnostic accuracy and minimal invasiveness, several innovations have been made within the last years including artificial intelligence and endoscopic tumor resection. The pres...

Artificial intelligence implementation in pancreaticobiliary endoscopy.

Expert review of gastroenterology & hepatology
INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms...

Robotics in therapeutic endoscopy (with video).

Gastrointestinal endoscopy
Since its inception, endoscopy has evolved from a solely diagnostic procedure to an expanding therapeutic field within gastroenterology. The incorporation of robotics in gastroenterology initially addressed shortcomings of flexible endoscopes in natu...

A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy.

Surgical endoscopy
BACKGROUND: Diagnosis of early gastric cancer (EGC) under narrow band imaging endoscopy (NBI) is dependent on expertise and skills. We aimed to elucidate whether artificial intelligence (AI) could diagnose EGC under NBI and evaluate the diagnostic as...