Abstract: Disclosed are systems and methods of communicating an attribute of an artificial intelligence (AI) agent system through an interface. The methods comprise receiving input data, determining attribute values of attributes to the input data over temporal periods, determining interface attribute values representing the interface attributes and communicating the interface attribute values to a dynamic interface. Also disclosed is a contextualized system comprising a contextualizer module and a user interface configured to communicate a recommended data to a user. In some embodiments, the contextualizer module selects a most pertinent data as the recommended data based on an activity of the user.

Abstract: An electrophysiology map can be generated from a plurality of electrophysiology data points added automatically in response to defined inclusion criteria. Inclusion criteria can generally be grouped into two categories: location-based (e.g., velocity, distance moved, dwell time, and proximity) and rhythm-based (e.g., cycle length and EKG matching). As each electrophysiology data point is collected, it can be tested against one or more defined inclusion criteria, and added to the electrophysiology map when it satisfies all such criteria. Inclusion criteria can also be employed to generate the geometric model underlying the electrophysiology map.