Gastroenterology

Towards a robust and compact deep learning system for primary detection of early Barrett's neoplasia: Initial image-based results of training on a multi-center retrospectively collected data set.

INTRODUCTION: Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer ...

Effects of deep learning on radiologists' and radiology residents' performance in identifying esophageal cancer on CT.

OBJECTIVE: To investigate the effectiveness of a deep learning model in helping radiologists or radi...

Artificial Intelligence Applications in Hepatology.

Over the past 2 decades, the field of hepatology has witnessed major developments in diagnostic tool...

Simultaneous Inguinal Hernia Repair with Monofilament Polypropylene Mesh during Robot-Assisted Radical Prostatectomy: Results from a Single Institute Series.

: Inguinal hernia (IH) is a usual finding in men with prostate cancer (PCa) due to their similar ris...

Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy.

: Capsule endoscopy (CE) is a non-invasive method to inspect the small bowel that, like other entero...

Diagnosis of gastric cancer based on hybrid genes selection approach.

Gastric cancer (GC) is the third leading cause of cancer death worldwide. In the field of medicine, ...

Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

BACKGROUND: Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeut...

Automated classification of polyps using deep learning architectures and few-shot learning.

BACKGROUND: Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method...

Beyond the : Artificial Intelligence Helps Radiologists to Improve Their Performance in Differentiating Colon Carcinoma From Acute Diverticulitis on CT.

Propensity score-matched analysis of the short-term outcomes of robotic versus laparoscopic surgery for rectal cancer.

PURPOSE: The advantages of robot-assisted rectal surgery (RARS) over conventional laparoscope-assist...

Analysis of scene-guided camera assistance in transaxillary gasless endoscopic thyroidectomy: a minor improvement in operative technique.

BACKGROUND: Transaxillary gasless endoscopic thyroidectomy (TGET) is a widely performed operation, b...

Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.

INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insuffic...

Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity.

Oral medicines represent the largest pharmaceutical market area. To achieve a therapeutic effect, a ...

Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images.

Polyploidy, the duplication of the entire genome within a single cell, is a significant characterist...

Deep learning of endoscopic features for the assessment of neoadjuvant therapy response in locally advanced rectal cancer.

BACKGROUND: For locally advanced rectal cancer (LARC), accurate response evaluation is necessary to ...

A Deep Learning-Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors.

The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically affe...

Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review.

OBJECTIVE: The endoscopic and laryngoscopic examination is paramount for laryngeal, oropharyngeal, n...

Comparison of robotic camera holders with human assistants in endoscopic surgery: a systematic review and meta-analysis.

BACKGROUND: Robotic camera holders can overcome the shortcomings of human assistants, such as shakin...

The Pros and Cons of Artificial Intelligence in Endoscopy.

Dexterity enhancement of continuum robot for natural orifice transluminal endoscopic surgery in the dual-manipulator collaborative space.

BACKGROUND: Suturing and knotting in Natural Orifice Transluminal Endoscopic Surgery (NOTES) require...

Outcomes of Robotic Simple Prostatectomy After Prior Failed Endoscopic Treatment of Benign Prostatic Hyperplasia.

We compared outcomes of robot-assisted simple prostatectomy (RASP) in patients with and without a h...