The IJMEDI checklist for assessment of medical AI

We propose a practical checklist to help authors to self assess the quality of their contribution and to help reviewers to recognize and appreciate high-quality medical ML studies by distinguishing them from the mere application of ML techniques to medical data.

This checklist is licensed under a Creative Commons “Attribution-ShareAlike 4.0International” license.

If you use this checklist, you can cite the corresponding editorial:

Federico Cabitza, Andrea Campagner,
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies,
International Journal of Medical Informatics, Volume 153, 2021
DOI: 10.1016/j.ijmedinf.2021.104510.