Trending Topics in Gastroenterology
Explore current gastroenterology questions, clinical answers, and emerging research by topic.
Explore current gastroenterology questions, clinical answers, and emerging research by topic.
GEMA-AI, or the Gender-Equity Model for Liver Transplant Waiting List Prioritization, is an innovative artificial intelligence-based model designed to improve fairness and accuracy in liver transplant allocation, with...
The comparison between AI-assisted pan-intestinal capsule endoscopy (AI-PCE) and conventional reading of pan-intestinal capsule endoscopy (CR-PCE) highlights significant advancements in the diagnostic capabilities of AI technology in the...
Machine learning (ML) has revolutionized gastrointestinal (GI) endoscopy by improving diagnostic precision, reducing variability, and streamlining workflows. ML algorithms analyze endoscopic images or videos to detect patterns, identify...
The role of artificial intelligence (AI) in submucosal vessel detection during third-space endoscopy, such as endoscopic submucosal dissection (ESD) and peroral endoscopic myotomy (POEM), has been explored to...
The ESGE (European Society of Gastrointestinal Endoscopy) Position Statement on computer-assisted detection (CADe) in colonoscopy for colorectal cancer (CRC) screening and post-polyp surveillance provides a cautious but favorable...
Submucosal vessel detection is critically important in third-space endoscopy because this advanced procedure involves creating a pathway within the layers of the gastrointestinal wall to treat conditions like...
The role of AI in detecting and analyzing cancer recurrence in patients with colorectal cancer (CRC) has been transformative, particularly with advancements like the DFCI-imaging-student model. Below is...
The AI/ML-based nomogram developed in this study serves as a predictive tool for estimating in-hospital mortality risk among cirrhotic patients with sepsis. This retrospective single-center study analyzed data...
Deep learning is a subset of machine learning that uses artificial neural networks to model and analyze complex data patterns. It is particularly effective in tasks involving large...
Yes, artificial intelligence (AI)-assisted colonoscopy has been shown to improve adenoma detection rates (ADR). Adenoma detection is a critical measure in colonoscopy, as higher ADRs are directly linked...
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