Soft Coagulation Versus Argon Plasma Coagulation After Large Non-pedunculated Colorectal Polyp Resection: A Meta-analysis.

Introduction: Thermal ablative methods (such as argon plasma coagulation (APC) and soft tip snare coagulation (STSC) are commonly used to treat polyp margins. We aim to appraise the current literature and compare clinical outcomes between patients with treated (with APC vs. STSC) and non-treated endoscopic mucosal resection (EMR) margins.

Eosinophilic Esophagitis-Related Food Impaction: Distinct Demographics, Interventions, and Promising Predictive Models.

Background: Eosinophilic esophagitis (EoE) is an increasingly common cause of food impaction.

Aims: This study aims to provide a nationwide analysis of food impaction in patients with or without EoE diagnosis, concentrating on patient demographics, interventions, outcomes, and development of predictive machine-learning models.

Methods: A retrospective assessment was conducted using Nationwide Emergency Department Sample data from January 1, 2018, to December 31, 2019.

Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders: An Update Beyond Polyp Detection.

Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.

Applications of Artificial Intelligence in Gastrointestinal Endoscopic Ultrasound: Current Developments, Limitations and Future Directions.

Endoscopic ultrasound (EUS) effectively diagnoses malignant and pre-malignant gastrointestinal lesions. In the past few years, artificial intelligence (AI) has shown promising results in enhancing EUS sensitivity and accuracy, particularly for subepithelial lesions (SELs) like gastrointestinal stromal tumors (GISTs). Furthermore, AI models have shown high accuracy in predicting malignancy in gastric GISTs and distinguishing between benign and malignant intraductal papillary mucinous neoplasms (IPMNs).

Comparative efficacy of different bowel preparations for colonoscopy: A network meta-analysis.

Background And Aims: The quality of a colonoscopy is heavily reliant on the effectiveness of bowel cleansing. Various cleansing solutions are currently available, but their comparative efficacy remains uncertain. This systematic review and network meta-analysis aims to compare the performance of different bowel preparations for colonoscopy.