The clinical diagnosis and treatment of kidney transplantation involve a large amount of high-dimensional, nonlinear and multimodal complex data. Traditional statistical methods make it difficult to fully identify the underlying patterns. However, artificial intelligence (AI) technology has stronger capabilities in data integration and analysis, and is particularly adept at handling complex data. This article reviews the application of AI in the field of kidney transplantation, covering the role of deep learning models in the quantitative assessment of donor kidney quality in the pre-transplantation stage, the value of virtual biopsy systems and the optimization strategies for donor-recipient matching, as well as the dynamic prediction of graft survival rate by the iBox system in the post-transplantation stage, the advantages of AI models in non-invasive monitoring of rejection and the application results of individualized dose prediction of immunosuppressive drugs. Although the clinical application of medical AI is still limited by insufficient model interpretability, questionable generalization ability, and ethical and legal risks, technologies such as federated learning and digital twins are expected to solve the problems of data privacy and simulation prediction, and further promote the precise development of kidney transplantation.

Brain computer interface is faced with the problems of legal attribute,legal risk and legal liability.In terms of legal attributes,the user has the subject status,and the legal attributes of brain-computer interface should be judged according to integration degree between brain-computer interface and human body.In terms of legal risks,personal risks,confidentiality risks and exceptions to confidentiality must be analyzed.In terms of legal liabilities,whether the brain-computer interface equipment is faulty will affect the identification of civil liabilities.Legal interest is determined according to the legal attribute of brain-computer interface.When the brain-computer interface does not feedback the user's true will,the corresponding action does not constitute an act in criminal law.It is necessary for China to formulate"Human brain Computer Interface Management Regulations"to es-tablish the legislative purpose and basis,concept and classification,legal status,basic principles,informed consent rules,confi-dentiality rules and exception rules,and legal liability.

Brain computer interface is faced with the problems of legal attribute,legal risk and legal liability.In terms of legal attributes,the user has the subject status,and the legal attributes of brain-computer interface should be judged according to integration degree between brain-computer interface and human body.In terms of legal risks,personal risks,confidentiality risks and exceptions to confidentiality must be analyzed.In terms of legal liabilities,whether the brain-computer interface equipment is faulty will affect the identification of civil liabilities.Legal interest is determined according to the legal attribute of brain-computer interface.When the brain-computer interface does not feedback the user's true will,the corresponding action does not constitute an act in criminal law.It is necessary for China to formulate"Human brain Computer Interface Management Regulations"to es-tablish the legislative purpose and basis,concept and classification,legal status,basic principles,informed consent rules,confi-dentiality rules and exception rules,and legal liability.