Content sources & attributions

Medpass uses medical questions from AfriMed-QA, a pan-African medical research initiative led by Intron Innovation in collaboration with SisonkeBiotik, BioRAMP, Georgia Institute of Technology, MasakhaneNLP, and Google Research.

AfriMed-QA was developed by 621 medical experts across 60+ medical schools in 18 African countries, with funding from Google Research, the Bill & Melinda Gates Foundation, and PATH. The dataset covers clinical medicine, surgery, obstetrics & gynaecology, paediatrics, basic sciences, and public health — with particular depth in tropical and African-context clinical cases.

The dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). We are deeply grateful to the AfriMed-QA team and all 621 contributors for making this resource available under the most permissive license — enabling African health-tech platforms like Medpass to build on their foundational work.

21,799 clinical 12-lead ECGs collected in Germany and validated by cardiologists. We render each ECG signal to a standardised PNG image that is attached to ECG interpretation questions on Medpass. No patient-identifiable information is included; only age, sex, and diagnostic labels are used.

The dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Wagner P, Strodthoff N, Bousseljot RD, Kreiseler D, Lunze FI, Samek W, Schaeffter T. PTB-XL, a large publicly available electrocardiography dataset. Scientific Data 7, 154 (2020). doi:10.1038/s41597-020-0495-6