Global Harmonization of Artificial Intelligence-Enabled Software as a Medical Device Regulation: Addressing Challenges and Unifying Standards

Sandeep Reddy MBBS, MSc, PhD
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引用次数: 0

Abstract

The growing incorporation of artificial intelligence (AI) into medical device software offers substantial prospects and regulatory hurdles. As AI software as a medical device (AI-SaMD) continues to advance, ensuring its safety, effectiveness, and security is paramount. Nevertheless, the regulatory environment needs more cohesion, with various regions implementing diverse strategies. This paper underscores the necessity for globally harmonized AI-SaMD regulations by examining key regulatory frameworks from the United States, the European Union, China, and Australia. The article also explores crucial elements for harmonization, including algorithm transparency, risk management, data security, and clinical evaluation. Furthermore, the paper advocates for implementing international standards and global data security protocols, emphasizing the significance of cross-border cooperation to ensure the worldwide safety and efficacy of AI-SaMD.
人工智能软件作为医疗器械法规的全球协调:应对挑战和统一标准
人工智能(AI)越来越多地融入医疗设备软件,带来了巨大的前景和监管障碍。随着人工智能软件作为医疗设备(AI- samd)的不断发展,确保其安全性、有效性和安全性至关重要。然而,监管环境需要更多的凝聚力,不同地区实施不同的战略。本文通过研究美国、欧盟、中国和澳大利亚的主要监管框架,强调了全球统一人工智能- samd监管的必要性。文章还探讨了协调的关键要素,包括算法透明度、风险管理、数据安全性和临床评估。此外,本文主张实施国际标准和全球数据安全协议,强调跨境合作对确保AI-SaMD在全球范围内的安全性和有效性的重要性。
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来源期刊
Mayo Clinic Proceedings. Digital health
Mayo Clinic Proceedings. Digital health Medicine and Dentistry (General), Health Informatics, Public Health and Health Policy
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