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The Evolving Regulatory Paradigm of AI in MedTech: A Review of Perspectives and Where We Are Today.
Zhou, Karen; Gattinger, Ginny.
Affiliation
  • Zhou K; Northeastern University, Toronto, ON, Canada. k.zhou@northeastern.edu.
  • Gattinger G; SoftwareCPR, Ottawa, ON, Canada.
Ther Innov Regul Sci ; 58(3): 456-464, 2024 May.
Article in En | MEDLINE | ID: mdl-38528278
ABSTRACT
Artificial intelligence (AI)-enabled technologies in the MedTech sector hold the promise to transform healthcare delivery by improving access, quality, and outcomes. As the regulatory contours of these technologies are being defined, there is a notable lack of literature on the key stakeholders such as the organizations and interest groups that have a significant input in shaping the regulatory framework. This article explores the perspectives and contributions of these stakeholders in shaping the regulatory paradigm of AI-enabled medical technologies. The formation of an AI regulatory framework requires the convergence of ethical, regulatory, technical, societal, and practical considerations. These multiple perspectives contribute to the various dimensions of an evolving regulatory paradigm. From the global governance guidelines set by the World Health Organization (WHO) to national regulations, the article sheds light not just on these multiple perspectives but also on their interconnectedness in shaping the regulatory landscape of AI.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Limits: Humans Language: En Journal: Ther Innov Regul Sci Year: 2024 Document type: Article Affiliation country: Canadá Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Limits: Humans Language: En Journal: Ther Innov Regul Sci Year: 2024 Document type: Article Affiliation country: Canadá Country of publication: Suiza