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

  • Report

  • 27 Pages
  • August 2019
  • Region: Global
  • Market Intelligence & Consulting Institute (MIC)
  • ID: 4826092

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.

List of Topics


  • Overview of smart medical image systems and technologies
  • US smart medical image system patent counts by patent field, by application year, by country, by patent technology, and by assignees such as Siemens, Samsung Medison, IBM, GE Healthcare, and Philips Healthcare
  • Patent analysis from an industrial-analytic perspective
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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. Author's PerspectiveAppendixGlossary of TermsList of Companies
List of Tables
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 Figures
Figure 1 Composition Diagram of Dual Smart Medical Image Systems

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • AmCad Biomed Corporation
  • Arterys
  • Carestream Health
  • Case Western Reserve University
  • Columbia University
  • EBM Technologies
  • FDNA
  • GE Healthcare
  • Heartflow
  • Hypermed Imaging
  • IBM
  • iCAD
  • IDx
  • Johns Hopkins University
  • Leland Stanford Junior University
  • Merge Healthcare
  • Microsoft
  • National Central University
  • Philips Healthcare
  • Riverain Technologies
  • Samsung Medison
  • Sectra
  • Siemens
  • Taihao Medical

Methodology

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

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