Latest AI and machine learning research in gastroenterology for healthcare professionals.
To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...
The early sign detection of liver lesions plays an extremely important role in preventing, diagnosin...
The treatment and diagnosis of colon cancer are considered to be social and economic challenges due ...
Liver transplantation outcomes have improved in recent years. However, with the emergence of expande...
PURPOSE: To develop a deep learning-based method for rapid liver proton-density fat fraction (PDFF) ...
BACKGROUND: We present the case report of synchronous trans-fascial repair of a large congenital Mor...
BACKGROUND: The progress of digital transformation in clinical practice opens the door to transformi...
OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of con...
AIMS: The timely diagnosis of different stages in NAFLD is crucial for disease treatment and reversa...
Hepatocellular carcinoma (HCC) has become the 4th leading cause of cancer-related deaths, with high ...
There has been ongoing discussion regarding the superiority of robotic laparoscopic surgery (RLS) ov...
Colon mucosae of ulcerative colitis (UC) and Crohn's disease (CD) display differences in the number ...
There is controversy over the possible advantages of the robotic technology in revisional bariatric ...
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-te...
Accurately predicting patient survival is essential for cancer treatment decision. However, the prog...
The benefits of robot-assisted laparoscopic surgery (RALS) for rectal cancer remain controversial. O...
PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fl...
Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasi...
In this work we present a framework for robust deep learning-based VMAT forward dose calculations fo...
.T1ρmapping is a promising quantitative MRI technique for the non-invasive assessment of tissue prop...
Currently, one of the most common causes of death worldwide is cancer. The development of innovative...