Publications by authors named "Lasse Hyldig Hansen"
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
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- TRIPOD-LLM is a new set of reporting guidelines specifically designed for the use of Large Language Models (LLMs) in biomedical research, aiming to standardize transparency and quality in healthcare applications.
- The guidelines include a checklist with 19 main items and 50 subitems, adaptable to various research designs, emphasizing the importance of human oversight and task-specific performance.
- An interactive website is provided to help researchers easily complete the guidelines and generate submissions, with the intention of continually updating the document as the field evolves.