Abstract: The technology disclosed relates to a system and method for detecting when to diverge to a tangential conversation from a linearly structured steps of a cognitive behavioral therapy (CBT) session in a series of sessions for a mental health disorder. The system includes logic to determine when to merge the tangential conversation back to flow of linearly structured steps in the therapy session. The system can bookmark the last completed step in the flow of linearly structured steps of the CBT therapy session before starting the tangential conversation. The system can calculate a return to CBT session score after each succeeding utterance from the patient in the tangential conversation. The system resumes flow of the linearly structured steps of the CBT session upon detecting that the return to CBT session score has exceeded a threshold.

Abstract: The technology disclosed relates to a system and method for remembering content received from a patient for future use and understood by computerized natural language processing during a chatbot therapy session. The system includes a graph of entities and relationships in an artificial memory graph data structure. The entity nodes in the graph represent entities that are related to a patient root node representing the patient. The entity nodes are connected to patient root node by one or more relationship edges that have named roles. The entity nodes and/or relationship edges can be slotted for at least a distinguishing name, a patient sentiment towards the entity and an entity state.