Abstract: A computer-implemented system assists resolution of service cases for medical imaging devices by retrieving device and case data, estimating likelihoods and timeframes for multiple resolution pathways, and presenting results in a user interface. Input may include images of device error messages captured by a camera; optical character recognition extracts text, and language detection and translation normalize messages for analysis. Models leverage historical repair data, technician profiles, and part replacement indicators to score pathways and forecast durations. A cost metric can combine likelihood and timeframe with service and scheduling costs to recommend actions and trigger service calls. The approach reduces downtime and improves dispatch and repair efficiency across customer and provider personnel.

Abstract: A non-transitory computer readable medium stores instructions readable and executable by at least one electronic processor to retrieve, based on a query received for a current service case, data related to a current medical imaging device for which the current service case to be performed; retrieve at least one service case resolution workflow comprising tasks for the current service case; identify (i) a first subset of the tasks of the at least one service case resolution workflow to be performed by a customer of the current medical imaging device, and (ii) a second subset of the tasks of the at least one service case resolution workflow to be performed by a service engineer; provide, on a display device of an electronic processing device, a user interface (UI) showing (i) the identified first subset of tasks and (ii) the identified second subset of tasks.