Abstract
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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