Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Development of a radiomics model for predicting lymph node metastasis status in rectal cancer patients based on 3-dimensional endoanal rectal ultrasound images.
The application of artificial neural network algorithm in pathological diagnosis of gastrointestinal malignant tumors has become a research hotspot. In the previous studies, the algorithm research mainly focused on the model development based on convolutional neural networks, while only a few studies used the combination of convolutional neural networks and recurrent neural networks. The research ...
BACKGROUND AND AIMS: Lack of clinical validation and inter-observer variability are two limitations of endoscopic assessment and scoring of disease se...
Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease globally and a leading cause for liver transplantation in the US. Its pat...
Minimally invasive pancreatectomy is increasingly used. Although offering potential advantages over open approaches, minimally invasive pancreatectomy...
The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy. The majority of preclinical studies have been und...
Robotic liver resection is a new platform for minimally invasive liver resection, and its functional advantages are expected to reduce or overcome the...
BACKGROUND: We introduced the da Vinci robotic surgical system in 2006 for the first time in Japan, and have been performing robot-assisted rectal can...
BACKGROUND: Transcervical esophagectomy allows for esophagectomy through transcervical access and bypasses the thoracic cavity, thereby eliminating si...
BACKGROUND: Widespread implementation of the minimally invasive technique in pancreatic surgery has proven to be challenging. The aim of this study wa...
Artificial intelligence (AI) has experienced substantial progress over the last ten years in many fields of application, including healthcare. In hepa...
The overload of the current healthcare model makes the search for strategies to improve process efficiency essential. An artificial intelligence (AI) ...
BACKGROUND AND AIMS: capsule endoscopy (CE) revolutionized the study of the small intestine. Nevertheless, reviewing CE images is time-consuming and p...
Robotic minimally invasive esophagectomy can be safely performed by adhering to key technical principles. Careful development of the gastric conduit w...
Since April 2018, robot-assisted rectal resection has been approved as an insurance medical treatment, and robot- assisted rectal resection is rapidly...
We report a case of 72s male with locally advanced sigmoid colon cancer. Colonoscopy revealed an advanced sigmoid colon cancer(AV 15 cm, type 2, semi-...
A 70s woman with a history of asthma and dyslipidemia underwent a robot-assisted abdominoperineal resection for rectal cancer. The ports were placed a...
Recent developments of deep learning methods have demonstrated their feasibility in liver malignancy diagnosis using ultrasound (US) images. However, ...
There is great heterogeneity among inflammatory bowel disease (IBD) patients in terms of pathogenesis, clinical manifestation, response to treatment, ...