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.

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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
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article

Risk-based evaluation of machine learning-based classification methods used for medical devices

Martin Haimerl, Christoph Reich
6 citations
BMC Medical Informatics and Decision Making
Health Systems, Economic Evaluations, Quality of Life
18.79
article

Risk-based evaluation of machine learning-based classification methods used for medical devices

Martin Haimerl, Christoph Reich
article en
6 citations

Abstract

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.

BMC Medical Informatics and Decision MakingVol. 25(1)
Furtwangen University (DE)
Openalex Percentile: Top 1%
Health Systems, Economic Evaluations, Quality of Life
18.79
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