Gastroenterology

Robotic versus open approach in total gastrectomy for gastric cancer: a comparative single-center study of perioperative outcomes.

The robotic approach to gastric cancer has been gaining interest in recent years; however, its benef...

Letter to the editor regarding 'Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients'.

Applications of Artificial Intelligence in the Automatic Diagnosis of Focal Liver Lesions: A Systematic Review.

BACKGROUND AND AIMS: Focal liver lesions (FLLs) are defined as abnormal solid or liquid masses diffe...

Prospective assessment of pancreatic ductal adenocarcinoma diagnosis from endoscopic ultrasonography images with the assistance of deep learning.

BACKGROUND: Endosonographers are highly dependent on the diagnosis of pancreatic ductal adenocarcino...

A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status.

Oncology treatments require continuous individual adjustment based on the measurement of multiple cl...

Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis.

Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Pancreatic masses are diverse in type, often making their clinical management challenging. This stud...

Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review.

BACKGROUND: Pancreatic cancer is the 12th most common cancer worldwide, with an overall survival rat...

Effect of Deep Learning Reconstruction on Respiratory-triggered T2-weighted MR Imaging of the Liver: A Comparison between the Single-shot Fast Spin-echo and Fast Spin-echo Sequences.

PURPOSE: To compare the effects of deep learning reconstruction (DLR) on respiratory-triggered T2-we...

[Development of the use of artificial intelligence in the management of chronic inflammatory bowel disease].

Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics,...

Robot-assisted lateral pelvic lymph node dissection in patients with advanced rectal cancer: a single-center experience of 65 cases.

The treatment of lateral pelvic lymph node (LPLN) metastasis of rectal cancer has evolved because of...

Diagnosis of liver diseases based on artificial intelligence.

Due to a series of problems in the diagnosis of liver disease, the mortality rate of liver disease p...

The PD-ROBOSCORE: A difficulty score for robotic pancreatoduodenectomy.

BACKGROUND: Difficulty scoring systems are important for the safe, stepwise implementation of new pr...

A primer on artificial intelligence in pancreatic imaging.

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contain...

A pair of deep learning auto-contouring models for prostate cancer patients injected with a radio-transparent versus radiopaque hydrogel spacer.

BACKGROUND: Absorbable hydrogel spacer injected between prostate and rectum is gaining popularity fo...

Total robot-assisted recipient's surgery in living donor liver transplantation: First step towards the future.

Lee and colleagues describe a groundbreaking total robot-assisted explant hepatectomy followed by ro...

Probiotic Escherichia coli Nissle 1917 propelled micro-robot with pH sensitivity for hypoxia targeted intestinal tumor therapy.

Poor drug penetration in hypoxia area of solid tumor is a big challenge for intestinal tumor therapy...

Investigation of radiomics and deep convolutional neural networks approaches for glioma grading.

To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCN...

Robotic Right Posterior Sectionectomy by Intrafascial Approach for Pancreas Neuroendocrine Liver Metastasis.

BACKGROUND: Liver resection is indicated for resectable liver metastases of neuroendocrine tumors. M...

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.

OBJECTIVE: To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frame...

Parallelized ultrasound homodyned-K imaging based on a generalized artificial neural network estimator.

The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical model for ...