磁共振成像
生物医学
材料科学
神经营养因子
环磷酸腺苷
纳米-
光热治疗
体内
人工智能
生物医学工程
纳米技术
神经科学
生物
计算机科学
生物信息学
生物化学
生物技术
放射科
医学
受体
复合材料
作者
Weilai Chen,Meng Chen,Shuanghong Jin,Shaoxun Li,Chenwei Pan,Baohua Liu
标识
DOI:10.1166/jnn.2021.18700
摘要
In recent years, with the rapid development of nano-biotechnology and biomedicine, people have provided new ideas and methods for disease diagnosis and treatment. Nano-sulfides with unique two-dimensional structures and special physicochemical properties have begun to be applied to biology and medical field. Relevant research results show that nano-sulfides have good effects in tumor photothermal treatment, in vivo multimodal imaging, antitumor drug delivery, biosensors and tissue engineering, showing their potential application value. In view of the broad application prospects of nano-sulfides in the field of nano-biomedicine, in the image reconstruction stage, before starting to use artificial intelligence algorithm models, first explore the application of iterative optimization algorithms in the process of magnetic resonance image reconstruction. Taking magnetic resonance imaging as an example, for the detected ligament trauma area, we use learned an artificial intelligence model for diagnosis of multiple ligament trauma of the knee joint and postoperative femoral nerve block.
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