Gastroenterology

Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images.

PURPOSE: In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate ...

A novel Joint-Net model for recognizing small-bowel polyp images.

INTRODUCTION: To automatically recognize polyps of enteroscopy images and avoid pathological change,...

Detection of colorectal lesions during colonoscopy.

Owing to its high mortality rate, the prevention of colorectal cancer is of particular importance. T...

Machine Learning Prediction of the Three Main Input Parameters of a Simplified Physiologically Based Pharmacokinetic Model Subsequently Used to Generate Time-Dependent Plasma Concentration Data in Humans after Oral Doses of 212 Disparate Chemicals.

Physiologically based pharmacokinetic (PBPK) modeling has the potential to play significant roles in...

Short-term outcomes in robot-assisted compared to laparoscopic colon cancer resections: a systematic review and meta-analysis.

BACKGROUND: Robot-assisted surgery is increasingly adopted in colorectal surgery. However, evidence ...

Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.

IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the pl...

Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure-activity relationship-based artificial intelligence and molecular docking of hit compounds.

Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 ...

Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.

OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...

Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C vir...

Machine Learning-Based Single Cell and Integrative Analysis Reveals That Baseline mDC Predisposition Correlates With Hepatitis B Vaccine Antibody Response.

Vaccination to prevent infectious disease is one of the most successful public health interventions ...

Deep learning-based artificial intelligence model for identifying swallow types in esophageal high-resolution manometry.

BACKGROUND: This study aimed to build and evaluate a deep learning, artificial intelligence (AI) mod...

Robot-assisted pancreatoduodenectomy with the da Vinci Xi: can the costs of advanced technology be offset by clinical advantages? A case-matched cost analysis versus open approach.

BACKGROUND: Robot-assisted pancreatoduodenectomy (RPD) has shown some advantages over open pancreato...

A Biologically Inspired Ring-Shaped Soft Pneumatic Actuator for Large Deformations.

Biomimicry of the stomach's peristaltic contractions can be challenging in the design, modeling, and...

Level 2a evidence comparing robotic versus laparoscopic left lateral hepatic sectionectomy: a meta-analysis.

OBJECTIVES: To evaluate comparative outcomes of robotic and laparoscopic left lateral hepatic sectio...

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, un...

study of sodium butyrate on soyasaponin challenged intestinal epithelial cells of turbot ( L.) refer to inflammation, apoptosis and antioxidant enzymes.

The study is aimed to investigate the protective effect and potential mechanisms of sodium butyrate ...

Machine learning models compared to existing criteria for noninvasive prediction of endoscopic retrograde cholangiopancreatography-confirmed choledocholithiasis.

BACKGROUND AND AIMS: Noninvasive predictors of choledocholithiasis have generally exhibited marginal...

A deep-learning-based prediction model for the biodistribution of Y microspheres in liver radioembolization.

BACKGROUND: Radioembolization with Y microspheres is a treatment approach for liver cancer. Current...

Simple surgical method for clamping the rectum in robot-assisted laparoscopic rectal surgery for rectal cancer, a simple clamping technique: A video vignette.

Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study.

BACKGROUND: To reduce the high incidence and mortality of gastric cancer (GC), we aimed to develop d...

Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning.

Thermal ablation is an acceptable alternative treatment for primary liver cancer, of which laser abl...