Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department.

"Declarations Ethics approval and consent to participateThis study has been approved by the medical ethical committee of the MUMC+ (METC 21–068). Written informed consent was obtained from all participants. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

"Funding The authors declare that they have received no funding from any funding agency in the public, commercial or not-for-profit sectors."

"Trial registration ClinicalTrials.gov NCT05497830. Machine Learning for Risk Stratification in the Emergency Department (MARS-ED). Registered on August 11, 2022. URL: https://clinicaltrials.gov/study/NCT05497830."