A digital twin is a digital replica of a living or non-living physical entity with an aim to establish the connection between the physical model and the corresponding virtual counterpart. Digital twin technology has been used in a broad range of applications across aerospace, manufacturing, medical, automotive, and urban planning industries. In medical applications, it can help doctors collect data of patients such as electronic medical records, physiological information, and lifestyle habits for them to perform remote medical services, simulate specific therapies and surgery or drugs, and collect responses from patients. On top of that, it can also assist medical staff to perform simulated training. This report identifies key medical care application fields covered by digital twin patents filed to the USPTO (the United States Patent and Trademark Office) and points out key technical points involved in these patents.
List of Topics
- Definition of digital twin and a brief overview of major players in medical applications such as GE Healthcare, Siemens Healthineers, Dassault Systemes, Sim & Cure
- Digital twin patent mining in medical applications, with a breakdown by field, technology, and application year
Table of Contents
1. Digital Twin
1.1 Definition
2. Patent Mining
3. Patent Analysis
3.1 Analysis by Field
3.2 Analysis by Technology
3.3 Cross-analysis of Patents by Technology and Application Year
4. Author perspective
Appendix
List of Companies
List of Tables
Table 1 Digital Twin Patent Share in Medial Applications by Technology
Table 2 Cross-analysis of Digital Twin Patents by Technology and Application Year
List of Figures
Figure 1 Illustrations of Digital Twin in Medical Applications
Figure 2 US Digital Twin Patent Share by Field
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Ansys
- Dassault Systemes
- GE Healthcare
- Siemens Healthineers
- Sim & Cur
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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