Gastroenterology

Transanal Minimally Invasive Surgery: A Useful Technique That Continues to Evolve.

Colorectal cancer remains the 3rd most common cancer diagnosed among men and women in the United Sta...

Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives.

Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic li...

Radiogenomic and Deep Learning Network Approaches to Predict Mutation from Radiotherapy Plan CT.

BACKGROUND/AIM: We aimed to investigate the role of radiogenomic and deep learning approaches in pre...

Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm. Authors' reply.

Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm.

Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

The potential of artificial intelligence (AI) applied to clinical data from electronic health record...

Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions.

The widespread availability of high-dimensional electronic healthcare record (EHR) datasets has led ...

The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn Disease.

BACKGROUND: Although imaging, endoscopy, and inflammatory biomarkers are associated with future Croh...

A graph auto-encoder model for miRNA-disease associations prediction.

Emerging evidence indicates that the abnormal expression of miRNAs involves in the evolution and pro...

Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning.

BACKGROUND: In clinical applications, mucosal healing is a therapeutic goal in patients with ulcerat...

Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer.

The landscape of gastrointestinal endoscopy continues to evolve as new technologies and techniques b...

Status quo and future prospects of artificial neural network from the perspective of gastroenterologists.

Artificial neural networks (ANNs) are one of the primary types of artificial intelligence and have b...

Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.

Tremendous advances in artificial intelligence (AI) in medical image analysis have been achieved in ...

Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.

Modern medical care produces large volumes of multimodal patient data, which many clinicians struggl...

Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection.

OBJECTIVES: Striking histopathological overlap between distinct but related conditions poses a disea...

Accuracy of artificial intelligence-assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta-analysis.

OBJECTIVE: To investigate systematically previous studies on the accuracy of artificial intelligence...

Use of ColonFlag score for prioritisation of endoscopy in colorectal cancer.

OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in UK. Symptomatic patients are ...

Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer.

In recent clinical practice the molecular diagnostics have been significantly empowered and upgraded...

Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review.

Upper gastrointestinal (GI) cancers are the leading cause of cancer-related deaths worldwide. Early ...

State of machine and deep learning in histopathological applications in digestive diseases.

Machine learning (ML)- and deep learning (DL)-based imaging modalities have exhibited the capacity t...

Consolidated EHR Workflow for Endoscopy Quality Reporting.

Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized...