Benjamin Douglas Liu, Steve D'Souza, Melina Roy, MetroHealth Dietitians, Sherif Saleh, Ronnie Fass, Gengqing Song
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ASSESSING THE QUALITY OF ARTIFICIAL INTELLIGENCE RESPONSES AND RESISTANCE TO SYCOPHANCY IN PROVIDING PATIENT-CENTERED MEDICAL ADVICE ON GASTROESOPHAGEAL REFLUX DISEASE.
期刊介绍:
Clinical Gastroenterology and Hepatology (CGH) is dedicated to offering readers a comprehensive exploration of themes in clinical gastroenterology and hepatology. Encompassing diagnostic, endoscopic, interventional, and therapeutic advances, the journal covers areas such as cancer, inflammatory diseases, functional gastrointestinal disorders, nutrition, absorption, and secretion.
As a peer-reviewed publication, CGH features original articles and scholarly reviews, ensuring immediate relevance to the practice of gastroenterology and hepatology. Beyond peer-reviewed content, the journal includes invited key reviews and articles on endoscopy/practice-based technology, health-care policy, and practice management. Multimedia elements, including images, video abstracts, and podcasts, enhance the reader's experience. CGH remains actively engaged with its audience through updates and commentary shared via platforms such as Facebook and Twitter.