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GE Healthcare Call for Proposals

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2020 Stanford AIMI - GE Healthcare Call for Proposals


Artificial Intelligence (AI) provides an unprecedented opportunity to revolutionize the practice of medicine. Stanford Radiology’s Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) is at the forefront of the revolution in medical imaging and has partnered with GE Healthcare to accelerate AI applications that enhance imaging device performance. The collaboration aims to create smarter imaging devices that will provide more consistent, efficient, and detailed diagnostic information.

This call for proposals aims to stimulate and support the creation of innovative and high-impact ideas that will advance the field of "upstream" medical imaging AI, which encompasses imaging exam selection, ordering, protocoling, exam workflow, imaging data acquisition, image reconstruction, and image processing. Application review will prioritize AI-related projects that highlight program priorities, leverage collaborators at GE Healthcare, and/or have strong potential for commercialization by GE.


  • Create novel AI-based methods for imaging exam selection, ordering, protocoling, exam workflow, imaging data acquisition, image reconstruction, and image processing;
  • Develop and/or disseminate "upstream" AI systems that enhance early detection, reduce diagnostic errors, select appropriate treatment, or improve the quality and efficiency of medical imaging;
  • Prospectively evaluate algorithms in the clinical environment;
  • Address unique opportunities at the intersection of imaging modalities


Each proposal must have a Principal Investigator who has a primary faculty appointment in Radiology. An optional Co-PI may be from Radiology or another department. Multidisciplinary collaborations are allowed and encouraged to enable the element of discovery. Each faculty can submit only one proposal per grant cycle as PI or Co-PI.

Faculty with PI eligibility are limited to those with tenure line (UTL), medical center line (MCL) research (NTLR), clinician educator (CE), or Instructor faculty who are full-time Stanford employees.  Research associates, post-doctoral fellows, residents, clinical fellows, and graduate students are not PI-eligible but may participate in more than one application.


The research must relate directly to clinical imaging, and the objectives of the project should include an outcome that will benefit patients. Awardees must be willing to present progress of their project at AIMI meetings and other departmental meetings, e.g., research group meetings, seminars, symposiums, and retreats. Awardees are expected to acknowledge and inform the AIMI Center regarding any papers, presentations, and grants that involve the funded project. Awardees must also allow the AIMI Center and the department to promote the project through its website, social media, and other communication channels. A mid-year progress report will be due 6 months after the project start date, and a first progress report and presentation of results will be due at the end of the first project period.  Similarly, if the project continues in the second year, an 18 month and final 24 month report will be due.


All application materials must be submitted online by June 1, 2020, at 5:00pm PT.

  • Online application form
  • Research proposal - PDF only; up to 2 pages
    • Background: Briefly describe the rationale behind the proposed study.
    • Specific Aims: Concisely state the hypothesis and the specific aims of the proposed research study.
    • Technical Approach: Describe the experimental design, technical approach and methods, anticipated results, and potential problems and alternative approaches. Preliminary data that support the conceptual framework of the study are not required but may be included, if available.
    • Timeline and Deliverables: Provide an outline of anticipated major milestones and deliverables, including abstracts and publications, of the proposed 2-year study. Adherence to milestones will be a key aspect during award administration, especially for continued support in the second year.
    • References - does not count towards the 2-page limit
  • Budget and justification - PDF only; use provided template in "Additional Resources" section below (RMG budget is not needed at this time)
  • Biosketch for PI and Co-PI (if applicable) - PDF only; up to 5 pages in NIH format


Application Deadline - June 1, 2020 at 5:00pm PT (Extended from 5/1/20)
Award Notifications - July 2020 
Project Start Date - Sept 2020


Proposals will be vetted by the Internal Review Committee and GE Leadership. If accepted, PIs will be requested to submit a full industry-sponsored research proposal, including a detailed study plan, deliverables, and detailed budget for consideration through GE’s research review process. Projects that gain final approval will be formalized into work statements under the Stanford-GE Comprehensive Research Agreement.

Note that the Internal Review Committee members are eligible to apply for the funds in this mechanism. During review, committee members who apply will be recused from review of any proposal in which they are a participant.


Up to 5 new research projects may be funded for up to 2 years. Applicants may request a maximum of $200,000 in total costs for each year. Selected projects will be funded for 1 year, with an additional year of support contingent on adequate progress.

  • Maximum cash budget $200K total costs per year; indirect costs are included in the $200K
  • May include: Faculty salary support, staff and trainee salary, other expenses.
  • Should include up to $2,500 per year for biostatistician support, if biostatistics are part of the project plan
  • Must include: $2,500 per year for industrial contracts manager
  • Support requested from GE may include cash, GE personnel time, scan time on the GE-owned MR or PETMR scanners, investigational and/or commercial software, loan of additional investigational and/or commercial equipment, etc


Shreyas Vasanawala, MD, PhD
Principal Investigator, Stanford AIMI - GE Healthcare Research Collaboration

Johanna Kim, MPH, MBA
Executive Director, Stanford AIMI