[Medical ML] Regulatory Landscape for Medical AI: FDA, CE Marking, and Ukrainian MHSU

February 12, 2026Open Access

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Key Points

The central aim is to analyze the regulatory frameworks governing medical AI across varying regions, including the FDA and CE marking.
Review of existing regulations for medical AI from the FDA and CE marking systems.
Analysis of the regulatory approach in Ukrainian healthcare systems.
Comparison of regulatory strategies to understand implications for medical AI deployment.
Identification of key regulatory differences between FDA and CE marking processes.
Insights into the unique regulatory challenges faced by Ukrainian MHSU in adopting medical AI.
Recommendations for harmonizing regulations to facilitate broader adoption of medical AI technologies.

Answers are grounded in this paper and cite their sources.

This review explores the regulatory landscape of medical AI in different frameworks, indicating potential implications for healthcare.

Part of the Medical ML Research Series: Machine Learning for Medical Diagnosis in Ukrainian Healthcare. Published on Stabilarity Research Hub.

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Oleh Ivchenko (2026) studied this question.

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