Gastroenterology

[Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].

Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the pa...

Artificial intelligence for the diagnosis of dysplasia in inflammatory bowel diseases.

[Application and development of voice analysis and endoscopic technology combined with artificial intelligence in the diagnosis and treatment of throat disease].

In the diagnosis and treatment of throat disease, the application and development of combining voice...

[Effect of Deep Learning-based Contrast-enhanced CT Image Reconstruction on the Image Quality of the Biliary System].

Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of...

The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications.

In the previous study, we developed the generalized drug-induced liver injury (DILI) prediction mode...

[Current Status of Robot-assisted Cardiac Surgery in Japan].

Endoscopic surgery has been introduced as a minimally invasive procedure in other fields. On the oth...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harves...

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection.

This work focuses on detection of upper gas-trointestinal (GI) landmarks, which are important anatom...

Analysis of classification tradeoff in deep learning for gastric cancer detection.

This study aimed to build convolutional neural network (CNN) models capable of classifying upper end...

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.

The aim of the study is to present and tune a fully automatic deep learning algorithm to segment col...

Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer.

BACKGROUND: Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) ...

Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network.

BACKGROUND: A convolutional neural network (CNN) is a deep learning algorithm based on the principle...

Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultras...

Modern surgical therapy for gastric cancer-Robotics and beyond.

The surgical paradigm for gastric cancer has been changed from extended surgery to minimally invasiv...

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.

BACKGROUND: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancre...

[Treatment of Parastomal Hernia Following Robot-Assisted Radical Cystectomy and Cutaneous Ureterostomy : A Case Report].

The patient was an 82-year-old woman with localized muscle-invasive bladder cancer, who underwent ro...

Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease.

Given the breakthroughs in key technologies, such as image recognition, deep learning and neural net...

[Technical difficulties and countermeasures of digestive tract reconstruction in robotic radical gastrectomy for gastric cancer].

There still remain some problemsin digestive tract reconstruction after robotic radical gastrectomy ...

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility ...

Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides.

Therapeutic peptides act on the skeletal system, digestive system and blood system, have antibacteri...

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.

BACKGROUND: Peritoneal recurrence is the predominant pattern of relapse after curative-intent surger...