Smart PACS workflow systems and methods driven by explicit learning from users

摘要

Certain embodiments of the present invention provide methods and systems for determining a hanging protocol for display of clinical images in a study. Certain embodiments provide a machine learning hanging protocol analysis system. The example system includes an image processing module to process image data to provide one or more features. The example system includes a learning engine to receive processed image data and additional data to learn and adapt a hanging protocol for repeated use by applying one or more machine learning algorithms to the processed image data and additional data. The learning engine is to continue to refine an available selection of candidate layouts based on the processed image data and additional data to provide one or more layout choices for selection to form a hanging protocol for display of image and other data.

主权项

1. A method to determine a hanging protocol for clinical image display, said method comprising:
monitoring, using a processor, user workflow in a first session; accepting, using a processor, user input to learn at least a portion of the workflow for repeat setup in a second session; developing a set of user preferences based on the monitoring and the user input; and applying one or more machine learning algorithms to the developed set of user preferences to develop one or more candidate layouts for selection and application as a hanging protocol.