Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: Liver cancer is a global challenge, and disparities exist across multiple domains and throu...
We describe two cases of locally advanced rectal cancer (LARC) treated with robot-assisted total pel...
After nearly 40 years of development, digestive endoscopy in children has been widely applied, and i...
OBJECTIVE: To compare perioperative and long-term outcomes of robot-assisted minimally invasive esop...
We present perioperative outcomes of a single-center experience with robot-assisted antegrade colon...
OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that pr...
Endoscopic photoacoustic tomography (EPAT) is a catheter-based hybrid imaging modality capable of pr...
Point clouds have been widely used due to their information being richer than images. Fringe project...
An 87-year-old female was admitted for endoscopic retrograde cholangiopancreatography (ERCP) due to ...
BACKGROUND AND AIMS: There is increasing interest in machine learning-based prediction models in inf...
Artificial intelligence (AI) is revolutionizing big data analytics. In this issue of The American Jo...
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) ...
BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often di...
This study aimed to demonstrate the learning curve of robot-assisted minimally invasive esophagectom...
To demonstrate feasibility of robot-assisted laparoscopic (RAL) ureteroureterostomy (UU) for benign...
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...
BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspe...
BACKGROUND: Early screening and treatment of esophageal cancer (EC) is particularly important for th...
Robotic esophageal surgery is becoming more widely adopted. Several publications on the feasibility,...
OBJECTIVE: Transit time flow measurement (TTFM) is valuable for assessing intraoperative graft paten...
CONTEXT.—: Pathology studies using convolutional neural networks (CNNs) have focused on neoplasms, w...