Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts

Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts

Clear and accessible lay summaries are essential for enhancing the public understanding of scientific knowledge. This study aimed to evaluate whether ChatGPT-4 can generate high-quality lay summaries that are both accurate and comprehensible for prostate cancer research in <i>Current Oncology&...

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Bibliographic Details
Main Authors: Emily Rinderknecht, Anna Schmelzer, Anton Kravchuk, Christopher Goßler, Johannes Breyer, Christian Gilfrich, Maximilian Burger, Simon Engelmann, Veronika Saberi, Clemens Kirschner, Dominik von Winning, Roman Mayr, Christian Wülfing, Hendrik Borgmann, Stephan Buse, Maximilian Haas, Matthias May
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Current Oncology
Subjects:
patient communication
artificial intelligence in healthcare
language model applications
plain language summaries
lay abstracts
prompt design
Online Access:https://www.mdpi.com/1718-7729/32/2/102
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https://www.mdpi.com/1718-7729/32/2/102

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