Gastroenterology

A Gratifying Step forward for the Application of Artificial Intelligence in the Field of Endoscopy: A Narrative Review.

BACKGROUND: Endoscopy is the optimal choice of diagnosis of gastrointestinal (GI) diseases. Followin...

Diagnosis of gastric lesions through a deep convolutional neural network.

BACKGROUND AND AIMS: A deep convolutional neural network (CNN) was used to achieve fast and accurate...

Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?

Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of ra...

Development of a susceptibility gene based novel predictive model for the diagnosis of ulcerative colitis using random forest and artificial neural network.

Ulcerative colitis is a type of inflammatory bowel disease characterized by chronic and recurrent no...

Infusion of short chain fatty acids in the ileum improves the carcass traits, meat quality and lipid metabolism of growing pigs.

Short chain fatty acids (SCFA) are the main products of indigestible carbohydrates undergoing bacter...

Robot-assisted extraperitoneal para-aortic lymphadenectomy (RAePAL) performed with the bipolar cutting method.

OBJECTIVE: In comparison with laparoscopic transperitoneal para-aortic lymphadenectomy, the advantag...

Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models.

In vivo diseases such as colorectal cancer and gastric cancer are increasingly occurring in humans. ...

Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.

OBJECTIVE: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with th...

Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks.

BACKGROUND AND AIMS: Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in cli...

Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions.

This work aims to develop a voxel-level dose prediction framework by integrating distance informatio...

Surgical technique for mesorectal division during robot-assisted laparoscopic tumor-specific mesorectal excision (TSME) for rectal cancer using da Vinci Si surgical system: the simple switching technique (SST).

In a narrow pelvic cavity, performing sufficient tumor-specific mesorectal excision (TSME) is diffic...

Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study.

BACKGROUND & AIMS: Liver ultrasound scan (US) use in diagnosing Non-Alcoholic Fatty Liver Disease (N...

First clinical experience with single-port robotic transanal minimally invasive surgery (SP rTAMIS) for benign rectal neoplasms.

BACKGROUND: The new da Vinci Single-Port (SP) robot is a single-arm four-channel robotic system well...

Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study.

BACKGROUND/PURPOSE: The application of artificial intelligence to clinical diagnostics using deep le...

Artificial Intelligence and Its Role in Identifying Esophageal Neoplasia.

Randomized trials have demonstrated that ablation of dysplastic Barrett's esophagus can reduce the r...

Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.

PURPOSE: Volumetric pancreas segmentation can be used in the diagnosis of pancreatic diseases, the r...

A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.

Metals are considered to be one of the most hazardous substances due to their potential for accumula...

Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images.

BACKGROUND AND AIMS: Recent advances in deep convolutional neural networks (CNNs) have led to remark...

Serum midkine levels for the diagnosis and assessment of response to interventional therapy in patients with hepatocellular carcinoma.

OBJECTIVE: To explore the clinical significance of serum midkine (MDK) levels for the diagnosis of h...

Combined use of curved scissors and the soft coagulation system in robot-assisted lateral lymph node dissection for rectal cancer - a video vignette.

Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer.

Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor charac...