Summary
This paper examines the multifaceted challenges posed by artificial intelligence in healthcare contexts, spanning technical implementation, ethical considerations, and regulatory governance. The author identifies critical gaps in current regulatory frameworks across states and proposes that international harmonisation through the World Health Organization, informed by European Union precedent, could provide a coherent pathway to protect health data, ensure fairness and equity, and mitigate risks whilst enabling beneficial AI applications.
Regional applicability
The paper's recommendations for WHO-led international standards and reference to EU regulatory models are directly relevant to United Kingdom healthcare governance, particularly post-Brexit alignment considerations. The identified regulatory gaps and governance principles apply broadly to high-income healthcare systems, though implementation mechanisms may require adaptation to UK institutional structures.
Key measures
Identification and evaluation of technical, ethical, and regulatory challenges; assessment of legal voids and regulatory complexities; recommendations for international harmonisation of AI healthcare standards
Outcomes reported
The study identified technical, ethical, and regulatory challenges in AI healthcare applications, including privacy, informed consent, patient autonomy, and diagnostic algorithm fairness. Recommendations were developed to protect health data and establish harmonised international standards for AI governance in healthcare.
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