Risk-based evaluation of machine learning-based classification methods used for medical devices
In summary, we demonstrated the necessity of a risk-based approach for the evaluation of medical devices which include ML-based classification methods. We showed that currently many scientific papers in this area do not include risk considerations. We developed basic steps towards a risk-based assessment of ML-based classifiers and elaborated consequences that could occur, when these steps are neglected. And, we demonstrated the consistency of our approach with current regulatory requirements in the EU.
Authors
- Martin Haimerl (ORCID: https://orcid.org/0000-0001-7025-942X)
- Christoph Reich (ORCID: https://orcid.org/0000-0001-9831-2181)
Institutions
- Furtwangen University (DE)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1186/s12911-025-02909-9
- Citations
- 6
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 18.79