Ge Precision Healthcare LLC

Ashish Kumar Sharma

Vijay Kumar Reddy Arlagadda

Praveenkumar Jeyakumar

Pavankumar N R

Mohit Dwivedi

Nandan Jain

Timothy Rose

A method includes receiving an image of a portion of a body of a patient. The image was acquired using a first modality. The method also includes receiving a selection of an area of interest of the image, receiving secondary information about the image, the patient, or both, predicting, using a machine learning model, one or more relevant case histories in a database including case histories and images captured in a plurality of modalities including at least one modality that is different from the first modality. The images are each linked with at least one case history, and the machine learning model is trained to predict the one or more relevant case histories based at least partially on the image, the area of interest, and the secondary information. The method also includes displaying data representing the one or more relevant case histories.

Medical image processing using artificial intelligence

Systems and methods for multi-browser viewers are proposed. A multi-browser system may include multiple browsers as hanging windows in a computer display system. Each browser is its own computer process for individual process management in memory and recovery if the process runs into issues. The system and methods proposed herein allow for the multiple browsers to be coordinated as to the information and views they are sharing to help users understand multiple sources of information quickly and in connection with each other. Such a system may be applicable in the healthcare industry, as one example.

Systems and methods for multi-browser viewers

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Bengaluru, India

Ashish Kumar Sharma