Gastroenterology

Implementation of a standardized surgical technique in robot-assisted restorative rectal cancer resection: a single center cohort study.

BACKGROUND: Despite increasing focus on the technical performance of total mesorectal excision over ...

New endoscopic tools in inflammatory bowel disease.

Endoscopic remission is now considered the ultimate long-term goal for treating inflammatory bowel d...

Operative and oncological outcomes after robotic rectal resection compared with laparoscopy: a systematic review and meta-analysis.

BACKGROUND: Most studies comparing robotic and laparoscopic surgery, show little difference in clini...

Implementation of the robotic abdominal phase during robot-assisted minimally invasive esophagectomy (RAMIE): results from a high-volume center.

BACKGROUND: Evidence on the added value of robotic-assistance in the abdominal phase during esophage...

The Association of Waist Circumference with the Prevalence and Survival of Digestive Tract Cancer in US Adults: A Population Study Based on Machine Learning Methods.

AIMS: This paper aims to investigate the relationship of waist circumference (WC) with digestive tra...

Robotic vs. laparoscopic intersphincteric resection for low rectal cancer: a case matched study reporting a median of 7-year long-term oncological and functional outcomes.

Aim of this study was to compare operative, long-term oncological and functional outcomes of laparos...

Design, Analysis and Experimental Validation of a Novel 7-Degrees of Freedom Instrument for Laparoscopic Surgeries.

Laparoscopic surgery is widely used for treating intra-abdominal conditions involving the gallbladde...

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction.

Drug-induced liver injury describes the adverse effects of drugs that damage the liver. Life-threate...

Robotic low anterior resection for locally advanced rectal cancer - A video vignette.

Deep learning-based automated quantification of goblet cell mucus using histological images as a predictor of clinical relapse of ulcerative colitis with endoscopic remission.

BACKGROUND: Mucin depletion is one of the histological indicators of clinical relapse among patients...

FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.

The performance of deep learning-based medical image segmentation methods largely depends on the seg...

Prediction of Epstein-Barr Virus Status in Gastric Cancer Biopsy Specimens Using a Deep Learning Algorithm.

IMPORTANCE: Epstein-Barr virus (EBV)-associated gastric cancer (EBV-GC) is 1 of 4 molecular subtypes...

Artificial intelligence in pancreatic cancer.

Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The ...

Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM.

OBJECTIVE: Accurate segmentation of liver tumors, which could help physicians make appropriate treat...

Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections.

Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recogn...

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning.

Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the pro...

Robotic radical distal gastrectomy for gastric cancer using the soft coagulation scissors technique.

We have developed a novel technique for safe and precise lymph-node dissection during robotic gastre...

Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.

PURPOSE: Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be wrought wit...

Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer.

Deep neural network is a complex pattern recognition network system. It is widely favored by scholar...

Primary Investigation of Deep Learning Models for Japanese "Group Classification" of Whole-Slide Images of Gastric Endoscopic Biopsy.

BACKGROUND: Accurate pathological diagnosis of gastric endoscopic biopsy could greatly improve the o...

Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose pred...