Exploration of Implementation Paths of Ethical Review in Medical Artificial Intelligence Research: from Perspectives of Algorithmic Transparency and Data Security

Objective From the perspectives of algorithmic transparency and data security to establish a practical and feasible ethical review mechanism for medical artificial intelligence (AI) research, effectively safeguarding the life, health, personal dignity, and legitimate rights and interests of research participants. Methods To sort out the basis for ethical review of medical AI research at home and abroad, analyze the problems and difficulties in relevant ethical review practices, and explore the procedures and key points of ethical review of medical AI research based on practical work. Results It has been clarified that the ethical review of medical AI research needs to strengthen interdisciplinary cooperation, invite experts from multiple fields such as software engineering and computer science to participate in the review work, optimize the process of ethical application and acceptance, standardize the way of ethical review, and develop corresponding review points based on different types of medical AI research, focusing on the evaluation of research risk-benefit ratio and the standardization of informed consent procedures. Conclusion This study proposes a standardized and effective implementation path for ethical review of medical AI research, while adhering to the basic requirements of traditional ethical review and taking into account the particularity of AI technology. The path is highly practicable.