ASSESSING THE ACCURACY AND CREDIBILITY OF CHATGPT: A COMPARATIVE STUDY ON NUTRITIONAL MANAGEMENT OF HYPERTENSION WITH EVIDENCE-BASED LITERATURE
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
UMT Lahore
Abstract
In the realm of healthcare, the arrival of Artificial Intelligence (AI) has introduced a
paradigm shift, redefining the ways medical information is generated. A notable AI
application in this domain is ChatGPT, an advanced language model that offers
information and assistance on a wide array of topics, including nutritional advice. As AI
becomes increasingly linked with healthcare, there emerges a critical need to evaluate the
accuracy and reliability of AI-generated data, particularly in contexts as complex as
managing hypertension. This study conducts a thematic analysis to evaluate the
alignment between ChatGPT-generated data and evidence-based literature. By
investigating 15 questions about nutritional approaches for the management of
hypertension, this study aims to reveal the similarities and differences between ChatGPT generated data and evidence-based data such as PEN knowledge pathways, PubMed, and
Google Scholar.