机器学习与深度学习在烟雾病影像学中的研究进展.

Moyamoya disease (MMD) is a complex cerebrovascular disease with unknown etiology. At present, it is mainly diagnosed by imaging examination. With the continuous development of imaging technology and the emergence of artificial intelligence, it has made great contributions to the diagnosis, identification and risk factor analysis of MMD. This paper focuses on the specific application of machine learning and deep learning algorithms in the field of artificial intelligence in the imaging of MMD. This paper summarizes and analyzes the shortcomings of such research at present and the prospects for the future. [ABSTRACT FROM AUTHOR]