GERD

History of artificial intelligence in medicine.

Artificial intelligence (AI) was first described in 1950; however, several limitations in early mode...

Utilizing artificial intelligence in endoscopy: a clinician's guide.

INTRODUCTION: Artificial intelligence (AI) that surpasses human ability in image recognition is expe...

Development and evaluation of a novel protective device for upper gastrointestinal endoscopy in the COVID-19 pandemic: the EBOX.

BACKGROUND: During the COVID-19 pandemic, aerosol-generating procedures such as upper gastrointestin...

Regulatory considerations for artificial intelligence technologies in GI endoscopy.

Artificial intelligence (AI) technologies in clinical medicine have become the subject of intensive ...

Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.

High resolution cervical auscultation is a very promising noninvasive method for dysphagia screening...

Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study.

BACKGROUND AND AIMS: A deep convolutional neural network (CNN) system could be a high-level screenin...

Machine learning in GI endoscopy: practical guidance in how to interpret a novel field.

There has been a vast increase in GI literature focused on the use of machine learning in endoscopy....

A primer on artificial intelligence and its application to endoscopy.

Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to impact ...

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.

PURPOSE: Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-c...

A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.

BACKGROUND: Accurate delineation of cancer margins is critical for endoscopic curative resection. Th...

High quality proton portal imaging using deep learning for proton radiation therapy: a phantom study.

Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting...

Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit.

BACKGROUND AND AIMS: Artificial intelligence (AI), specifically deep learning, offers the potential ...

Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Deep learning is an innovative algorithm based on neural networks. Wireless cap...

Next generation of endoscopy: Harmony with artificial intelligence and robotic-assisted devices.

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.

While natural language processing (NLP) of unstructured clinical narratives holds the potential for ...

A Novel Surgical Technique for Obstructed Megaureter: Robot-Assisted Laparoscopic Dismembered Extravesical Cross-Trigonal Ureteral Reimplantation-Short-Term Assessment.

To describe our experience with robot-assisted laparoscopic dismembered extravesical cross-trigonal...

Hypertrophic Cardiomyopathy Is Associated with Altered Left Ventricular 3D Blood Flow Dynamics.

PURPOSE: To employ four-dimensional (4D) flow MRI to investigate associations between hemodynamic pa...

Artificial intelligence for detecting mitral regurgitation using electrocardiography.

BACKGROUND: Screening and early diagnosis of mitral regurgitation (MR) are crucial for preventing ir...

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.

BACKGROUND AND AIMS: Protruding lesions of the small bowel vary in wireless capsule endoscopy (WCE) ...

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefac...

Genome-wide inference of the Camponotus floridanus protein-protein interaction network using homologous mapping and interacting domain profile pairs.

Apart from some model organisms, the interactome of most organisms is largely unidentified. High-thr...