NEURAL NETWORK TRAINING CORPUS DEVELOPMENT AND USE, AND USE OF A TRAINED NEURAL NETWORK RE RADIATION TREATMENT PLATFORM MACHINE CONTROL POINTS

Abstract

Information comprising physical settings for a particular radiation treatment platform (such as machine control points) form a training corpus. A neural network is trained using that training corpus. By one approach, the training corpus does not include any information that pertains to any radiation treatment platform other than the particular radiation treatment platform. The training may be repeated as a function of at least one of a passage of time, a particular number of therapeutic uses of the particular radiation treatment platform, and/or completion of at least one maintenance activity. A radiation treatment plan can be optimized to provide optimized plan control points. These optimized plan control points can be mapped to corresponding machine control points as a function, at least in part, of the aforementioned trained neural network.

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