Yingpeng Qiu, Han Yao, Ping Ren, 等. Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence[J]. 智能肿瘤学, 2025,1(2):120-127.
Yingpeng Qiu, Han Yao, Ping Ren, et al. Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence[J]. Intelligent Oncology, 2025, 1(2): 120-127.
Yingpeng Qiu, Han Yao, Ping Ren, 等. Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence[J]. 智能肿瘤学, 2025,1(2):120-127.DOI: 10.1016/j.intonc.2025.03.001.
Yingpeng Qiu, Han Yao, Ping Ren, et al. Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence[J]. Intelligent Oncology, 2025, 1(2): 120-127.DOI: 10.1016/j.intonc.2025.03.001.
Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence
This paper explores the expansion from fintech-based regulatory sandboxes to those that include medical artificial intelligence (AI) by examining their potential to foster innovation and accelerate market access while ensuring safety and compliance
especially considering how they provide a flexible framework for medical AI companies to develop and test new technologies. This work also highlights the key risks involved
including data privacy
ethical concerns
real-world validation
and regulatory consistency
and proposes strategies for mitigation. Using case studies from the United States
the United Kingdom
the European Union
Indonesia
Japan
and China
this paper illustrates how regulatory sandboxes can support AI-driven healthcare innovation. Overall
although regulatory sandboxes present several risks
they are valuable for advancing medical AI
granted that they balance innovation with robust oversight to ensure patient safety and long-term benefits.
Abstract
This paper explores the expansion from fintech-based regulatory sandboxes to those that include medical artificial intelligence (AI) by examining their potential to foster innovation and accelerate market access while ensuring safety and compliance
especially considering how they provide a flexible framework for medical AI companies to develop and test new technologies. This work also highlights the key risks involved
including data privacy
ethical concerns
real-world validation
and regulatory consistency
and proposes strategies for mitigation. Using case studies from the United States
the United Kingdom
the European Union
Indonesia
Japan
and China
this paper illustrates how regulatory sandboxes can support AI-driven healthcare innovation. Overall
although regulatory sandboxes present several risks
they are valuable for advancing medical AI
granted that they balance innovation with robust oversight to ensure patient safety and long-term benefits.