September 12, 2025FARMAKOEKONOMIKA Modern Pharmacoeconomics and PharmacoepidemiologyOpen Access

Artificial intelligence in healthcare: global implementation, legal regulation, problems and ethical issues

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Diverse regulatory approaches towards AI in healthcare affect patient rights and innovation in different jurisdictions.
Distinct methodologies for AI regulation were identified, with algorithmic bias and transparency being significant ethical issues.
Comparative legal analysis reveals the need for harmonization of standards across countries to improve AI governance.
Dynamic regulatory frameworks and interdisciplinary cooperation are essential for balancing innovation with patient security.

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Implication

This review highlights differences in AI regulation in the US, EU, China, and Russia, suggesting improvements to address ethical issues and enhance patient rights.

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Korabelnikov et al. (2025) studied this question.

synapsesocial.com/papers/68d41bfb713b0b5dfea65148 https://doi.org/10.17749/2070-4909/farmakoekonomika.2025.328

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Implication

This review highlights differences in AI regulation in the US, EU, China, and Russia, suggesting improvements to address ethical issues and enhance patient rights.

Artificial intelligence in healthcare: global implementation, legal regulation, problems and ethical issues

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Discussion

Implication

Cite This Study

Artificial intelligence in healthcare: global implementation, legal regulation, problems and ethical issues

Key Points

Discussion

Implication

Cite This Study