Artificial intelligence governance review framework for medical imaging and radiotherapy

doi:10.3877/cma.j.issn.1674-0785.2024.11.001

Abstract

Abstract:

Medical imaging is one of the earliest disciplines to adopt artificial intelligence (AI) technology. Currently, AI/ML (machine learning) models are being used to assist in imaging diagnosis and treatment. However, the widespread clinical application of AI necessitates finding an innovative foundation that balances reliable, trustworthy technology with legal and ethical considerations such as data privacy protection. The demand for constructing AI governance frameworks in the field of medical imaging and radiology is growing exponentially. This paper proposes a practical governance framework based on fundamental ethical principles, considering both short-term and long-term validation and evaluation procedures of AI models, with an aim to guide AI applications in the field of medical imaging and radiology.

Key words: Artificial intelligence, Imaging diagnosis, Data black box, Privacy, Governance framework

Wenwen Fan, Xiaojuan Fan, Hua Bai, Hongmei Zhang, Jie Wang. Artificial intelligence governance review framework for medical imaging and radiotherapy[J]. Chinese Journal of Clinicians(Electronic Edition), 2024, 18(11): 973-979.

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