公开(公告)号：US20190122397A1

公开(公告)日：2019-04-25

申请号：US16077994

申请日：2017-07-12

Applicant: Mindshare Medical, Inc.

Inventor： Michael E. Calhoun ,  Samir Chowdhury ,  Ilya Goldberg

IPC: G06T11/00 ,  G16H30/40 ,  G16H50/20 ,  G06T7/00 ,  G06T7/90 ,  A61B5/08 ,  A61B5/00 ,  A61B6/00

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.

公开(公告)号：US20190027252A1

公开(公告)日：2019-01-24

申请号：US16140374

申请日：2018-09-24

Applicant: Mindshare Medical, Inc.

Inventor： Michael E. Calhoun ,  Samir Chowdhury ,  Ilya Goldberg

IPC: G16H50/20 ,  G06T7/168 ,  G06T7/00 ,  A61B6/00

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.

公开(公告)号：US10255997B2

公开(公告)日：2019-04-09

申请号：US16140374

申请日：2018-09-24

Applicant: Mindshare Medical, Inc.

Inventor： Michael E. Calhoun ,  Samir Chowdhury ,  Ilya Goldberg

IPC: G16H50/20 ,  G06T7/168 ,  G06T7/00 ,  A61B6/00 ,  G16H80/00 ,  G06K9/52 ,  G16H50/30 ,  G16H30/00

Abstract: Systems and methods of a medical analytics system are described herein. The medical analytics system can include a machine learning model for processing patient tissue images for either training the machine learning model or for clinical use, such as providing information for assisting a clinician with at least diagnosing a disease or condition of a patient. Implementations of the medical analytics system can further include a user interface that is configured to allow a user to interact with a patient image for assisting with diagnosing at least a part of the tissue captured in the patient image.