Smart Medical Image System: Patent Distribution, Market Trend, and Opportunity Analysis

Smart Medical Image System: Patent Distribution, Market Trend, and Opportunity Analysis

Aug 2019 Market Intelligence & Consulting Institute ICT27 Pages Price :
$ 1800

As the traditional medical image system requires doctors to manually identify and mark the pathological images one by one, the professional ability and judgment experience of the doctor directly affect the medical diagnosis efficiency and the accuracy of the image recognition of the lesion. In view of this, scientists have combined artificial intelligence, image analysis, imaging medicine, and pathology images over the years to propose smart medical image system solutions to assist physicians in disease diagnosis in a more efficient manner.

This report provides an overview of the components of the smart medical image system, key areas and strategies of several big names such as Siemens, Samsung Medison, IBM, GE Healthcare, and Philips Healthcare which possess US patents with regard to smart medical image systems, and examines their market trends and opportunities.  

Table of Contents

1.Technology Introduction 


2.Patent Analysis 
2.1 Patent Mining 
2.2 Patent Analysis 
2.2.1 Analysis by Patent Field and Patent Application Year 
2.2.2 Analysis by Patent Field and Assignee 
2.2.3 Analysis by Patent Field and Enterprise & University Assignee 
2.2.4 Analysis by Patent Technology and Patent Application Year 
2.2.5 Analysis by Patent Technology and Country
2.2.6 Analysis by Patent Technology and Assignee 

3.MIC Perspective

Appendix 

Glossary of Terms 
List of Companies 

List of Table

Table 1 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Field and Patent Application Year 
Table 2 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Field and Country 
Table 3 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Field and Enterprise & University Assignee 
Table 4 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Field and Startup and Taiwanese Assignee 
Table 5 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Technology and Patent Application Year 
Table 6 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Technology and Country 
Table 7 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Technology and Enterprise & University Assignee 
Table 8 Matrix Analysis of US Smart Medical Image System Patent Counts by Patent Technology and Startup & Taiwanese Assignee 
 

List of Chart

Figure 1 Composition Diagram of Dual Smart Medical Image Systems 

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