Nationwide real-world implementation of AI for cancer detection in population-based mammography screening (PRAIM)

The PRAIM study (PRospective multicenter observational study of an integrated AI system with live Monitoring) assessed the impact of an AI-based decision support software on breast cancer screening outcomes. This Dryad data package contains the anonymized data from 461 818 screening cases across 12 screening sites in Germany. Variables include screening outcomes like cancer detection, use of AI software, radiologist assessments, cancer characteristics, and further metadata. The data can be used to reproduce the analyses on performance of AI-supported breast cancer screening versus standard of care published in Nature Medicine: Nationwide real-world implementation of AI for cancer detection in population-based mammography screening., , , # Nationwide real-world implementation of AI for cancer detection in population-based mammography screening (PRAIM) – Dataset

The PRAIM study (**PR**ospective multicenter observational study of an integrated **A**rtificial **I**ntelligence system with live **M**onitoring) was a study conducted within the German breast cancer screening program from July 2021 to February 2023 to assess the impact of an AI-based decision support software. This dataset contains the data from PRAIM.

## Context

The PRAIM study has been published in *Nature Medicine*. Please refer to the article [Nationwide real-world implementation of AI for cancer detection in population-based mammography screening](https://doi.org/10.1038/s41591-024-03408-6) for further information on study design, results, and discussion of impact. The study has been previously [registered](https://drks.de/search/en/trial/DRKS00027322) in the German Clinical Trials Register and the study protocol can be found on the [website of the Univ...