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Bringing Ideas Together for the IWGMI: Synthesis of Testimony and Multi-Agency Collaboration

This presentation provides a short review of previous testimony and organizes it into a framework that highlights multi-agency involvement. The goal is to stimulate a new way to describe a national roadmap for medical imaging research that is more multi-disciplinary and has both scientific and economic goals.

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Bringing Ideas Together for the IWGMI: Synthesis of Testimony and Multi-Agency Collaboration

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  1. SynthesisBringing ideas together for the IWGMI Steven E Seltzer MD FACR Chair, BWH Department of Radiology Cook Professor of Radiology, Harvard Medical School

  2. Disclosures • Dr Seltzer is the institutional PI on master research agreements with Siemens and GE. He receives no compensation. • Dr Seltzer is a member of the GERRAF Board of Review. He receives travel reimbursement. • Dr Seltzer is on the Board of the Academy of Radiology Research, a not for profit organization, and receives no compenasation. Add text here

  3. Disclosures 2 • From Dr Pettigrew: “…while your perspectives are the goal, no consensus or explicit advice is sought.” • The observations, comments and perspectives mentioned are Dr Seltzer’s alone and not those of the Academy of Radiology Research, Brigham and Women’s Hospital, Harvard Medical School or any other organization. Add text here

  4. Overview • Short review of previous testimony • Organize and categorize the testimony into a simple framework • Highlight multi-agency involvement • An aggressive ‘ask’

  5. Short Review of Previous Testimony • National organizations • Economic impact • Industry • Academic superstars • Patient groups Link to prior presentations http://www.acadrad.org/information-on-the-iwgmi-meetings/ PW: IWGMI

  6. Premises • Continued research in physics, biology, chemistry, engineering, informatics etc by government, academia and industry • IWGMI goal is to stimulate a new way to describe a national roadmap for medical imaging research that is more multi-disciplinary, involves many federal agencies and has both scientific and economic goals

  7. Overview • Short review of previous testimony • Organize and categorize the testimony into a simple framework • Highlight multi-agency involvement • An aggressive ‘ask’

  8. IWGMI Bringing it All Together: Three Cardinal Clinical Categories Plus IT (3 plus 1) to Organize and Simplify our Conversation Early Detection Precision Diagnosis Image-Guided Intervention Data

  9. Computer-aided Detection Imaging Technology Improvements Population Management within ACO’s Image processing and quantitative analysis Risk Stratification Structural, Functional and Molecular Approaches FDA Approvals Training Subspecialty experts Facilitators of Early Detection

  10. The Clinical Categories

  11. Similarity to Other Complex National Initiatives

  12. Similarity to Other Complex National Initiatives Threat Assessment Precise Characterization Rational Intervention Risks vs Benefits The Diagnostic Cockpit

  13. IWGMI Bringing it All Together: Three Cardinal Clinical Categories Plus IT (3 plus 1) to Organize and Simplify our Conversation Early Detection Precision Diagnosis Image-Guided Intervention Data

  14. Role of Data in the Three Clinical Categories

  15. Overview • Short review of previous testimony • Organize and categorize the testimony into a simple framework • Highlight multi-agency involvement • An aggressive ‘ask’

  16. Roles for Federal Agencies Add ONCHIT?

  17. Roles for Federal Agencies

  18. Roles for Federal Agencies

  19. Roles for Federal Agencies

  20. Relevance to other Federal Initiatives • Supports and can be a component of other initiatives, but is not subsumed nor supplanted by them. • Relevance to Cancer Moonshot • This approach to imaging covers just about every disease beyond cancer, including neurologic, cardiovascular, musculoskeletal, GI, GU, GYN • Relevance to Precision Medicine • More of an emphasis on imaging is needed than has been discussed up until now.

  21. Overview • Short review of previous testimony • Organize and categorize the testimony into a simple framework • Highlight multi-agency involvement • An aggressive ‘ask’

  22. The Aggressive Ask • Create multi-disciplinary, multi-source data repository and initiate research efforts, such as those described as Deep Learning, to mine this repository. • Proof of concept for Deep Learning • Create prototype Diagnostic Cockpit at the NIH Clinical Center in Bethesda to launch an iterative process to allow human experts to use multi-source data. • Proof of concept for Precision Diagnosis • Create avenues to explore the application of the technologies developed by Working Group agencies to health and medical problems in early detection, precision diagnosis and image-guided interventions. • Proof of concept for Team Science

  23. Another Diagnostic Cockpit

  24. Conclusions • Deep Learning • Diagnostic Cockpit • Team Science Let’s work together to make this a reality!

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