TRIPOD+AI is an extension and update of the original TRIPOD-2015, and replaces TRIPOD-2015. TRIPOD+AI is a 27-item checklist which aims to harmonise the landscape of prediction model studies and to provide transparent reporting of studies developing, validating, or extending (updating) a prediction model regardless of whether regression models or machine learning methods have been used, whether the model are used for diagnostic, prognostic, monitoring or screening purposes, irrespective of the medical domain and of the outcomes predicted or predictors being used.
TRIPOD-LLM is an extension of TRIPOD+AI statement, addressing the unique challenges of LLMs in biomedical and healthcare applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and various subitems, emphasizing explainability, transparency, human oversight, and task-specific performance reporting of LLMs in the biomedical and healthcare field.
See also https://tripod-llm.vercel.app/ facilitating easy guideline completion and PDF generation for submission.
The Julius Center for Health Sciences and Primary Care conducts cutting edge multidisciplinary applied and methods research into the domains of diagnosis, prognosis, treatment and prevention.
We collaborate with researchers across the UK and the globe to conduct world-class medical and healthcare research, aiming to advance healthcare practice and policy.
