Adaptive Algorithms Regulation
Adaptive Algorithms Regulation is a regulatory framework that governs the development, validation, and deployment of machine learning algorithms in digital health devices, distinguished by its requirement for continuous monitoring, real-world performance assessment, and iterative updates to ensure safety, efficacy, and compliance as the algorithm evolves over time.
6
Publications
910
Citations
19
Authors
16
Institutions
Publications per year
2017–2026
5
6
Algorithmic regulation: A critical interrogation
Karen Yeung · Regulation & Governance · 2017 · 648 citations
A Products Liability Framework for AI
Catherine M. Sharkey · Science and Technology Law Review · 2024 · 26 citations · Full text
Law, Health Law, Tort Law +16
Yves Saint James Aquino, Wendy Rogers, Susannah Louise Sage Jacobson et al. · Health Policy and Technology · 2024 · 21 citations · Full text
1–5 of 6
19
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1
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1–5 of 19
16
King's College London
London, United Kingdom
2 h-index
2 publications
668 citations

University of Genoa
Genoa, Italy
1 h-index
3 publications
360 citations
Cardiorentis (Switzerland)
Zug, Switzerland
1 h-index
1 publications
81 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
1 publications
81 citations
University of Lausanne
Lausanne, Switzerland
1 h-index
1 publications
81 citations

Imperial College London
London, United Kingdom
1 h-index
4 publications
80 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
20 citations
Universitätsklinikum Gießen und Marburg
Giessen, Germany
1 h-index
1 publications
81 citations
1–8 of 16
1 publications · 26 citations
1
h-index
1 publications · 648 citations
1
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1 publications · 15 citations
1
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1 publications · 81 citations
1
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1 publications · 20 citations
1
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1–5