Gastroenterology

Feasibility and Accuracy of Artificial Intelligence-Assisted Sponge Cytology for Community-Based Esophageal Squamous Cell Carcinoma Screening in China.

INTRODUCTION: Screening is the pivotal strategy to relieve the burden of esophageal squamous cell ca...

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

The purpose of paper is to investigate the depression and anxiety as well as independent influential...

Bowel Obstruction After Sacrocolpopexy: A Case Series.

OBJECTIVES: Bowel obstruction after sacrocolpopexy (SC) can cause significant morbidity. The aim of ...

Non-invasive Detection of Bowel Sounds in Real-life Settings Using Spectrogram Zeros and Autoencoding.

Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to ine...

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Fast and accurate cancer prognosis stratification models are essential for treatment designs. Large ...

Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning.

Pancreatic surgery is associated with a high risk for postoperative complications and death of patie...

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses...

An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning.

TRUS-MR fusion guided biopsy highly depends on the quality of alignment between pre-operative Magnet...

APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.

Colorectal cancer has become the second leading cause of cancer-related death, attracting considerab...

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

We consider the problem of training a convolutional neural network for histological localization of ...

End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks.

In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ...

Emerging artificial intelligence applications in liver magnetic resonance imaging.

Chronic liver diseases (CLDs) are becoming increasingly more prevalent in modern society. The use of...

Prognostic factors of minimally invasive surgery for gastric cancer: Does robotic gastrectomy bring oncological benefit?

BACKGROUND: Gastric cancer is the third leading cause of cancer-related death worldwide and surgical...

Deep learning conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study.

BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD)...

[A novel attention fusion network-based multiple instance learning framework to automate diagnosis of chronic gastritis with multiple indicators].

To explore the performance of the attention-multiple instance learning (MIL) framework, an attentio...

Artificial intelligence or colonoscopy quality the likes of which have never been seen.

Artificial Intelligence-assisted Prostate Cancer Diagnosis: Radiologic-Pathologic Correlation.

The classic prostate cancer (PCa) diagnostic pathway that is based on prostate-specific antigen (PSA...

[Application of digital medical technology in hepatopancreatobiliary surgery:20 years' retrospective review and prospect].

Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreati...

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...

Efficacy and safety of a switch from twice-daily tacrolimus to once-daily generic tacrolimus in stable liver transplant patients.

BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However...

[Clinical significance of the deep learning algorithm based on contrast-enhanced CT in the differential diagnosis of gastric gastrointestinal stromal tumors with a diameter ≤ 5 cm].

Contrast-enhanced CT is an important method of preoperative diagnosis and evaluation for the malign...