Methods of implementing an artificial intelligence based neuroradiology platform for neurological tumor identification and for t-cell therapy initiation and tracking and related precision medical treatment predictive modeling platforms

A method of implementing an artificial intelligence based neuroradiology platform for neurological tumor identification comprising the steps of:

• Providing a multilayer convolutional network for neurological tumor identification configured for segmenting data sets of full neurologic scans into resolution voxels;
• Supervised learning of the platform by classification of tissue within classification voxels of a specific given training data set by the multilayer convolutional network for neurological tumor identification with each classification voxel of the training data set having a predetermined ground truth;
• Validating the classification of tissue within classification voxels of a specific given validation data set by the multilayer convolutional network for neurological tumor identification with each classification voxel of the validation data set having a predetermined ground truth;
• Implementing the platform by classification of tissue within classification voxels of a specific given patient data sets by the multilayer convolutional network for neurological tumor identification with each classification voxel of each data set assigned a label.