Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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Showing 316-336 of 3,581 articles
Retrospective survey of using a novel validated real-time PCR assay.

, an aggressive plant pathogen, causes symptoms on a variety of crops and ornamental plants includin...

Revolutionizing protein-protein interaction prediction with deep learning.

Protein-protein interactions (PPIs) are pivotal for driving diverse biological processes, and any di...

An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopy.

BACKGROUND AND AIMS: The diagnosis and stratification of gastric atrophy (GA) predict patients' gast...

Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.

BACKGROUNDS: Cycle-consistent generative adversarial network (CycleGAN) is a deep neural network mod...

Bioinformatics and Machine Learning Methods Identified MGST1 and QPCT as Novel Biomarkers for Severe Acute Pancreatitis.

Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to...

Evaluation of robot-assisted laparoscopic versus conventional laparoscopic hiatal hernia repair in children.

Laparoscopic approach is the gold standard for repairing hiatal hernia (HH). Robotic technology is n...

Patient satisfaction analysis of robot-assisted minimally invasive adrenalectomy: a single-center retrospective study.

The objective of this study is to compare the satisfaction of patients undergoing robot-assisted ret...

Application of artificial intelligence in gastrointestinal endoscopy.

Endoscopy is an important method for diagnosing gastrointestinal (GI) diseases. In this study, we pr...

Artificial Intelligence in endoscopy: A future poll.

Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical ap...

Safety and surgical outcomes of single-port trans-axillary robot-assisted thyroidectomy: Experience from a consecutive series of 300 patients.

Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyr...

Prediction of Transfusion among In-patient Population using Temporal Pattern based Clinical Similarity Graphs.

Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk...

Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.

Osteoporosis (OP) is a chronic bone metabolic disease and a serious global public health problem. S...

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging.

Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruis...

Construction and evaluation of endometriosis diagnostic prediction model and immune infiltration based on efferocytosis-related genes.

Endometriosis (EM) is a long-lasting inflammatory disease that is difficult to treat and prevent. E...

Developing the novel diagnostic model and potential drugs by integrating bioinformatics and machine learning for aldosterone-producing adenomas.

Aldosterone-producing adenomas (APA) are a common cause of primary aldosteronism (PA), a clinical s...

From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization.

This review article provides a comprehensive overview of the evolving techniques in image-enhanced e...

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