Paragraph Number

208

In some embodiments, a generative and a discriminative network model can be combined into a generative adversarial network (GAN) to generate a treatment plan. Using a training data set of existing recorded treatment plans for a number of preoperative and/or intraoperative input data and/or postoperative data sets, in this situation, the generative network can be trained to generate a preferred treatment plan from the preoperative and/or intraoperative input data. The discriminative network can be trained to evaluate the generated treatment plan and to distinguish the generated treatment plan from the actual treatment plan of the training case. Thus, the discriminative network can force the generative network to improve its results. (See US Patent 11,278,413 Para. 80-91).

Added by DJM Jan 2024