Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening.
Journal:
BMC medical informatics and decision making
Published Date:
Jul 1, 2025
Abstract
BACKGROUND: The rapid advancement of artificial intelligence, driven by Generative Pre-trained Transformers (GPT), has transformed natural language processing. Prompt engineering plays a key role in guiding model outputs effectively. Our primary objective was to explore the possibilities and limitations of a custom GPT, developed via prompt engineering, as a patient education tool, which delivers publicly available information through a user-friendly design that facilitates more effective access to cervical cancer screening knowledge.
