Gastroenterology

In Silico Prediction of Intestinal Permeability by Hierarchical Support Vector Regression.

The vast majority of marketed drugs are orally administrated. As such, drug absorption is one of the...

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

Drug discovery is a costly process which usually takes more than 10 years and billions of dollars fo...

A closer look to the new frontier of artificial intelligence in the percutaneous treatment of primary lesions of the liver.

The purpose of thermal ablation is induction of tumor death by means of localized hyperthermia resul...

What's new in IBD therapy: An "omics network" approach.

The industrial revolution that began in the late 1800s has resulted in dramatic changes in the envir...

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.

INTRODUCTION: MRI T2* relaxometry protocols are often used for Liver Iron Quantification in patients...

Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study.

BACKGROUND AND AIMS: A deep convolutional neural network (CNN) system could be a high-level screenin...

Robotic vs laparoscopic total mesorectal excision for rectal cancers: has a paradigm change occurred? A systematic review by updated meta-analysis.

AIM: The debate about the oncological adequacy, safety and efficiency of robotic vs laparoscopic tot...

Common cancer biomarkers of breast and ovarian types identified through artificial intelligence.

Biomarkers can offer great promise for improving prevention and treatment of complex diseases such a...

Deep Learning model for markerless tracking in spinal SBRT.

Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy ...

Evolution of renal function in patients with severe intestinal failure on home parenteral nutrition.

BACKGROUND: Kidney disease is a frequent but underestimated complication in patients suffering from ...

Machine learning in GI endoscopy: practical guidance in how to interpret a novel field.

There has been a vast increase in GI literature focused on the use of machine learning in endoscopy....

Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal r...

CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful ...

Re: "Appraisal and Current Considerations of Robotics in Colon and Rectal Surgery" by Andolfi .

Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).

BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to g...

A primer on artificial intelligence and its application to endoscopy.

Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to impact ...

Preliminary clinical application of the robot-assisted CT-guided irreversible electroporation ablation for the treatment of pancreatic head carcinoma.

BACKGROUND: To evaluate the feasibility and safety of a robot-guided irreversible electroporation (I...

Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.

PURPOSE: Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-c...

A Light-Weight Practical Framework for Feces Detection and Trait Recognition.

Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they can ...

SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning.

In recent years, accumulating studies have shown that long non-coding RNAs (lncRNAs) not only play a...

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.

BACKGROUND & AIMS: One-fourth of colorectal neoplasias are missed during screening colonoscopies; th...