Latest AI and machine learning research in gastroenterology for healthcare professionals.
INTRODUCTION: The oral microbial group typically represents the human body's highly complex microbia...
OBJECTIVE: The aim of this study is using clinical factors and non-enhanced computed tomography (CT)...
BACKGROUND: Thoracic esophageal cancer resection through the neck approach has recently been reporte...
INTRODUCTION: In renal transplantation, donor hepatitis C virus (HCV) status is crucial to consider ...
PURPOSE: A combination of fluorouracil, leucovorin, and oxaliplatin (FOLFOX) is the standard for adj...
BACKGROUND: Artificial intelligence (AI) is becoming more useful as a decision-making and outcomes p...
Recognizing the most relevant seven organs in an abdominal computed tomography (CT) slice requires s...
Approximately 10% of submucosal invasive (T1) colorectal cancers demonstrate extraintestinal lymph n...
INTRODUCTION: Both artificial intelligence (AI) and distal attachment devices have been shown to imp...
BACKGROUND: Aim of the current study was to present the results of the implementation phase of a rob...
PURPOSE: To develop a deep learning (DL) model based on preoperative contrast-enhanced computed tomo...
Drug-induced liver injury (DILI) is one the rare adverse drug reaction (ADR) and multifactorial endp...
BACKGROUND: Endoscopic transaxillary approaches to thyroidectomy have been well described and gasles...
OBJECTIVE: To develop and validate a risk scoring scale model (RSSM) for stratifying prognostic risk...
SerotoninAI is an innovative web application for scientific purposes focused on the serotonergic sys...
Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...
OBJECTIVE: Colorectal cancer (CRC) has a significant role in cancer-related mortality. Colonoscopy, ...
Rectal cancer is one of the most prevalent cancers that arise in the digestive tract. The purpose of...