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</i>. T...

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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-02-01
Edice:	Current Oncology
Témata:	patient communication artificial intelligence in healthcare language model applications plain language summaries lay abstracts prompt design
On-line přístup:	https://www.mdpi.com/1718-7729/32/2/102
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!