Evaluating Artificial Intelligence-Driven Responses to Acute Liver Failure Queries: A Comparative Analysis Across Accuracy, Clarity, and Relevance.

Introduction: Recent advancements in Artificial Intelligence (AI), particularly through the deployment of Large Language Models (LLMs), have profoundly impacted healthcare. This study assesses five LLMs-ChatGPT 3.5, ChatGPT 4, BARD, CLAUDE, and COPILOT-on their response accuracy, clarity, and relevance to queries concerning acute liver failure (ALF).

Nonvariceal upper gastrointestinal bleeding in COVID-19 patients: insights from the National Inpatient Sample.

Background: This retrospective study, conducted using the U.S. National Inpatient Sample (NIS), examines the outcomes and management of nonvariceal upper gastrointestinal bleeding (NVUGIB) in COVID-19 patients and identifies predictive factors to enhance patient prognosis.

Emerging from the shadows: A rare case of gastrointestinal AL amyloidosis presenting as hematemesis.

We document a unique presentation of light chain (AL) amyloidosis in a 62-year-old man exhibiting as acute hematemesis and chronic abdominal discomfort. Esophagogastroduodenoscopy disclosed marked thickening of gastric and duodenal folds, gastroduodenal nodularity, and friable ulcerations. Biopsy confirmed amyloidosis.