Fig. 1

The diagram of the proposed model evolution process. The prediction model functions as a self-checking tool, ensuring that only new plans with quality higher than past plans can be added to the training dataset. The developed model underwent a total of six runs of refinements with training set size increased from initial 25 plans up to 100 cases