Safety principles for medical summarization using generative AI
Abstract
The introduction of Generative AI, particularly large language models presents exciting opportunities for healthcare. However their novel capabilities also have the potential to introduce novel risks and hazards. This paper explores the unique safety challenges associated with LLMs in healthcare, using medical text summarization as a motivating example. Using MedLM as a case example, we propose leveraging existing standards and guidance while developing novel approaches tailored to the specific characteristics of LLMs.
