PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 2, 2025Frontiers in Medicine24 citationsOpen Access

A decade of review in global regulation and research of artificial intelligence medical devices (2015–2025)

View Full Paper
SZSiwen ZhangYLYujun LiWLWenxi Liu

Key Points

  • Main finding: The regulatory landscape for artificial intelligence medical devices has evolved significantly since 2015.
  • Key evidence: Policies have been initiated by the U.S., EU, China, Japan, and South Korea to enhance safety and innovation.
  • Approach: Comprehensive analysis of regulatory policies and academic research related to AI medical devices.
  • Significance: Identifying gaps in standards helps improve oversight and supports innovation in AI medical devices.

Abstract

Artificial intelligence (AI) and medical devices are increasingly integrated, reshaping global diagnostic paradigms. However, the adaptive learning and opaque nature of AI technologies pose significant challenges to traditional regulatory frameworks. In response, regulatory bodies worldwide, including the U.S., EU, China, Japan, and South Korea, have initiated various policies to address the unique risks posed by AI medical devices (AIMD). These efforts aim to balance innovation with patient safety, yet gaps remain in harmonizing standards across regions and ensuring comprehensive oversight. This study provides a comprehensive analysis of the regulatory policies for AIMD from 2015 to 2025 across key global regions. We examine the evolution of these policies, the academic research progress, the limitations of existing regulations, and emerging trends. By reviewing relevant legislation and literature, this paper offers valuable insights for researchers, manufacturers, and regulators to foster the development of robust regulatory frameworks for AIMD.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/689a0c72e6551bb0af8d045fhttps://doi.org/10.3389/fmed.2025.1630408
Ask AI
Helpful
Bookmark
Share
View Full Paper