D.r. Systems, Inc.

International Business Machines Corporation

Michael Trambert

Murray A Reicher

Evan K Fram

Marwan Sati

Mark D Bronkalla

Systems and methods for generating electronic reports for medical images. One system includes an electronic processor configured to access a plurality of prior reports associated with a user and automatically generate a mapping using machine learning based on the plurality of prior reports. The mapping associates language included in the plurality of prior reports with at least one section of a report. The system stores the mapping to a memory, receives input from the user for an electronic report associated with a medical image, accesses the mapping from the memory, automatically determines a section in the electronic report associated with the input based on the mapping, and automatically inserts text into the section in the electronic report based on the input.

Automatically associating user input with sections of an electronic report using machine learning

Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

Computer-aided analysis and rendering of medical images using user-defined rules

Rendering of medical images using user-defined rules

Growing community of inventors

Santa Barbara, CA, United States of America

Michael Trambert