Performing a maintenance operation on a medical imaging system

A computer-implemented method of training a machine learning algorithm to process a maintenance task template for resolving a performance issue, the maintenance task template comprising a plurality of related maintenance operations for resolving the performance issue, wherein each maintenance operation comprises a requirement for completing said maintenance operation, the method comprising:

• receiving:
• i) a training unstructured information source comprising a training query and a training text comprising an answer to the training query;
• and ii) a training Boolean indication;
• and
• training the machine learning algorithm based on the training unstructured information source as a training input for the machine learning algorithm and the training Boolean indication as the training output for the machine learning algorithm.

A system for performing a maintenance operation on a medical imaging system in response to a performance issue, wherein the system comprises a processor adapted to:

• receive input data representing the performance issue;
• extract one or more issue features from the input data, the extracted issue features including one or more of:
• a type of process executed on or by the medical imaging system prior to a time of the performance issue, an identification of a subcomponent installed in the medical imaging system, an amount of wear of a component of the imaging system, sensor data from the medical imaging system, a history of previous maintenance operations or software updates performed on the medical imaging system, and an expected time within which the performance issue must be resolved;
• select, based on the extracted one or more issue features, a maintenance task template for resolving the performance issue, wherein the maintenance task template is selected from a database of maintenance task templates, each maintenance task template defining one or more maintenance operations to be performed on the medical imaging system to resolve performance issues;
• populate the selected maintenance task template based on the received input data and/or the extracted one or more issue features;
• and
• execute the one or more maintenance operations defined in the selected maintenance task template on the medical imaging system, in order to resolve the medical imaging system performance issue.

A system for training a machine learning algorithm to process a maintenance task template for resolving a performance issue, the maintenance task template comprising a plurality of related maintenance operations for resolving the performance issue, wherein each maintenance operation comprises a requirement for completing said maintenance operation, wherein the system comprises a processor adapted to:

• receive:
• i) a training unstructured information source comprising a training query and a training text comprising an answer to the training query;
• and ii) a training Boolean indication;
• and
• train the machine learning algorithm based on the training unstructured information source as a training input for the machine learning algorithm and the training Boolean indication as the training output for the machine learning algorithm.