Invention Grant
- Patent Title: Medical evaluation machine learning workflows and processes
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Application No.: US16229297Application Date: 2018-12-21
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Publication No.: US10937164B2Publication Date: 2021-03-02
- Inventor: Wade J. Steigauf , Benjamin Strong , Shannon Werb
- Applicant: Virtual Radiologic Corporation
- Applicant Address: US MN Minneapolis
- Assignee: Virtual Radiologic Corporation
- Current Assignee: Virtual Radiologic Corporation
- Current Assignee Address: US MN Minneapolis
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62 ; G06K9/46 ; G16H30/40 ; G16H40/20 ; G16H50/20 ; G06N20/00

Abstract:
Systems and methods for processing electronic imaging data obtained from medical imaging procedures are disclosed herein. Some embodiments relate to data processing mechanisms for medical imaging and diagnostic workflows involving the use of machine learning techniques such as deep learning, artificial neural networks, and related algorithms that perform machine recognition of specific features and conditions in imaging data. In an example, a deep learning model is selected for automated image recognition of a particular medical condition on image data, and applied to the image data to recognize characteristics of the particular medical condition. Based on the characteristics recognized by the automated image recognition on the image data, an electronic workflow for performing a diagnostic evaluation of the medical imaging study may be modified, updated, or prioritized.
Public/Granted literature
- US20190279363A1 MEDICAL EVALUATION MACHINE LEARNING WORKFLOWS AND PROCESSES Public/Granted day:2019-09-12
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