Latest AI and machine learning research in gastroenterology for healthcare professionals.
A 73-year-old woman was admitted with a chief complaint of weight loss. Colonoscopy revealed rectal ...
An 81-year-old female visited a local hospital with complaints of anal pain. A tumor was found on th...
We present a case of a 72-year-old man diagnosed with rectal cancer invading the urinary bladder/pro...
We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RA...
The patient was referred to our hospital because of bloody stool and anorectal pain, and a colonosco...
Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice...
BACKGROUND: Colonoscopy can detect colorectal adenomas and reduce the incidence of colorectal cancer...
BACKGROUND: Endoscopy artifacts are widespread in real capsule endoscopy (CE) images but not in high...
BACKGROUND AND PURPOSE: This meta-analysis assesses the surgical outcomes between robot-assisted min...
Liver disease is one of the major problems affecting human health. Ultrasound plays an important rol...
Artificial intelligence (AI) systems based on machine learning have evolved in the last few years wi...
A single multimode fiber has been applied in minimally invasive endoscopy with wavefront shaping for...
Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image cla...
Accurate abdomen tissues segmentation is one of the crucial tasks in radiation therapy planning of r...
Robotic colonoscopes could potentially provide a comfortable, less painful and safer alternative to ...
Endocytoscopy (EC) facilitates real-time histological diagnosis of esophageal lesions in vivo. We de...
MOTIVATION: The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based...
Although robot-assisted laparoscopic ureter reimplantation (RALUR) is a recognized alternative to o...
Inguinal lymph node status is the single most important prognostic factor for survival in patients w...
Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore exp...