A methodology based on quality gates for certifiable AI in medicine: towards a reliable application of metrics in machine learning

  • As of now, intelligent technologies experience a rapid growth. For a reliable adoption of those new and powerful systems into day-to-day life, especially with respect to high-risk settings such as medicine, technical means to realize legal requirements correctly, are indispensible. Our proposed methodology comprises an approach to translate such partly more abstract concepts into concrete instructions - it is based on Quality Gates along the intelligent system’s complete life cycle, which are composed of use-case adapted Criteria that need to be addressed with respect to certification. Also, the underlying philosophy regarding stakeholder inclusion, domain embedding and risk analysis is illustrated. In the present paper, the Quality Gate Metrics is outlined for the application of machine learning performance metrics focused on binary classification.

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Author:Miriam EliaORCiDGND, Bernhard BauerORCiDGND
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/104536
Parent Title (English):ICSOFT 2023: Proceedings of the 18th International Conference on Software Technologies, 10-12 July 2023, Rome, Italy
Place of publication:Setúbal
Editor:Hans-Georg Fill, Francisco José Domínguez Mayo, Marten van Sinderen, Leszek Maciaszek
Type:Conference Proceeding
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2023/05/24
First Page:486
Last Page:493
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Professur Softwaremethodik für verteilte Systeme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)