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An Assessment of Imaging Informatics for Precision Medicine in Cancer.
Yearbook of Medical Informatics
|October 25, 2017
Summary
Achieving precision medicine requires robust informatics solutions for quantitative imaging. Recommendations focus on data standards, sharing, clinician feedback, and open-source tools to bridge research and clinical practice.
Area of Science:
- Medical Imaging
- Oncology
- Precision Medicine
- Informatics
Background:
- Precision medicine necessitates comprehensive data analysis for effective interventions.
- Current data volumes challenge meaningful information extraction.
- Quantitative imaging and oncology present specific informatics needs.
Purpose of the Study:
- To examine the informatics requirements for advancing precision medicine.
- To outline recommendations from National Cancer Institute (NCI) workshops.
- To focus on the intersection of quantitative imaging and oncology.
Main Methods:
- Summarization of observations and recommendations from NCI workshops.
- Focus on medical imaging and precision medicine in oncology.
- Discussion of informatics needs and potential solutions.
Main Results:
- Adoption of data standards for interoperability and clinical correlates.
- Promotion of data sharing and validation of imaging tools.
- Integration of clinician feedback, open-source architecture, and industry partnerships.
- Emphasis on educational initiatives for technology translation.
Conclusions:
- Imaging informatics plays a crucial role in advancing quantitative imaging for precision medicine.
- Recommendations are applicable beyond oncology to other clinical domains.
- Addressing informatics challenges is key to realizing the potential of precision medicine.
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