Artificial Intelligence (AI) has the tremendous potential to transform medicine and improve the human condition. In particular, AI will enhance patient outcomes via systems that increase diagnostic accuracy, advance drug development, provide more sophisticated patient monitoring, and personalize care to the needs of the individual. To achieve the promise of AI in healthcare, significant challenges must be overcome to ensure safe, equitable, and robust systems. We must guide innovation responsibly and keep ethics, safety, and human-centered values at the heart of research, development, and implementation.
To achieve these goals, the Center for Artificial Intelligence in Medicine and Imaging and the Institute for Human-Centered Artificial Intelligence jointly seek proposals that support new and ambitious ideas that reimagine artificial intelligence in healthcare, using real clinical data sets, with near term clinical applications that have a well-defined and testable impact. We expect to award up to five two-year grants of up to $200,000 each.
HAI is simultaneously offering a separate funding opportunity, a general call for proposals for up to $75K for one year. Additional guidance on which funding source is most appropriate for your project, and other frequently asked questions, can be found here. You cannot submit the same research for both opportunities; however, the review committee may forward proposals submitted for the HAI-AIMI call for consideration for the HAI general call.
AIMI develops and supports transformative medical AI applications and the latest in applied computational and biomedical imaging research to advance patient health. Drawing on Stanford’s interdisciplinary expertise in medicine, bioinformatics, statistics, electrical engineering, and computer science, the AIMI Center supports the development, evaluation and dissemination of new AI methods applied across the continuum of care.
HAI Focus Areas:
- Intelligence — research that aims to develop novel technologies inspired by the depth and versatility of human intelligence
- Augment Human Capabilities — research that aims to design and create AI technologies that work together with humans rather than replace them
- Human Impact — research that aims to understand and guide the global societal impact of AI technologies for the greater good
Potential topics may include:
- The use of AI to re-imagine clinical workflows by incorporating novel technologies
- The development and/or dissemination of AI systems that enhance early detection, reduce diagnostic errors, or otherwise improve the accuracy, efficiency, timeliness, or communication of diagnostic results
- Algorithms that select appropriate treatment, or predict clinical outcomes
- Studies of the impact of AI on health economics, ethics, policy, privacy; including studies of how to maintain or enhance fairness related to race, ethnicity, and gender
- The creation of novel AI-based methods for image creation, reconstruction, and/or enhancement
- Methods that improve the interaction between humans and AI technologies through interpretable, trustworthy, and fair AI, or by studying and enhancing user interactions with clinical AI systems
Proposals are due on June 23, 2021 at 11:59pm PST. Proposals will undergo a scientific review and an ethics review. The top ten proposals will be invited to present their project, in lightning talk format, to the review committee. Presentations will take place at the end of August and award recipients will be notified in September. Please submit using the Apply button below.
The proposal (maximum 3 pages, excluding references, PDF, single-spaced, 11 point, 1 inch margins) should include the following components:
First two pages:
- Background and problem statement
- Core research idea
- Any results or findings from earlier phases of this research
- How your research idea innovates over existing methods/applications or brings together diverse disciplines
- Detailed technical (or general) problem solving approach, including 3-5 key project milestones and expected completion dates
- Team involved (faculty, postdocs, staff, and/or students as appropriate)
- Requested funding and associated informal budget sketch (e.g., “25% RA 2qtrs: $18K; fieldwork travel $3K, equipment: $4K”); be sure to factor in the 8% infrastructure charge required by the university
- Ethics and Society Review (ESR) statement: (one page, single-spaced, 11 point, 1 inch margins). The ESR panel may ask for more detail in response.
- Detail the ethical and societal risks of the proposed research, the principles that researchers in your field should follow in mitigating these risks, and how, specifically, you plan to use those principles to mitigate the risks in your research design. The ESR is focused on ethics and societal harms, in contrast to the IRB's focus on harms to research participants. Read here for examples of common risks, principles, and mitigations in HAI ESR statements.
Fourth page +
References (no max or min limits, at the end of the PDF file)
Proposals will be reviewed based on:
- Novelty or innovativeness of the proposed AI in healthcare project
- Scientific rigor of the proposed methods
- Likelihood the project will have a near term positive impact on health care delivery, patient satisfaction, clinical outcomes, or user satisfaction
- The qualifications of the proposed team to complete the project
- Interdisciplinary collaborations beyond traditional computational and clinical disciplines
- The creativity of the proposed project, balanced by the project’s likelihood of success
- Alignment with the AIMI mission and HAI focus areas listed above
- Recommendations from the ethics review
We welcome proposals that come from students, staff, and Stanford faculty. Each proposal must have a Stanford faculty or researcher who qualifies as a Principal Investigator (PI) according to Stanford University Policy and is affiliated faculty of the AIMI Center. Faculty with PI eligibility are limited to those with tenure line (UTL), medical center line (MCL) research (NTLR), or clinician educator (CE) faculty at the rank of assistant professor and above who are full-time Stanford employees. All Stanford faculty are eligible to become affiliates of the AIMI Center. Faculty may submit only one proposal as PI per grant cycle.
Awardees must be willing to attend and present the results of their work at future HAI and AIMI events as well as volunteer to review for future HAI and AIMI grant programs. Appropriate project teams may also be requested to present at other events, such as SAIL Faculty Lunches, GSB seminars, Ethics in Society events. Awardees agree to have HAI and AIMI promote the project online through websites, social media, and other communication channels.
Timely and substantive reporting of the value derived from seed grants is important to HAI and AIMI’s ability to continue and expand our grant programs. Twelve months after receipt of initial funds, recipients must provide a summary of research status in relation to milestones listed in the proposal, challenges faced and plans to overcome those challenges, usage of funds, and next steps. By the project end date, recipients must provide a final report of research results, usage of funds, and a list of publications, grant applications, articles, and conference talks emerging from the research.
Proposals may request up to $200,000 over 2 years. Award amounts will be based on an analysis of a budget request. No indirect costs will be charged but an 8% infrastructure charge will be imposed on the award amount so up to $184,000 will be available in direct costs. The release of funds will occur in two phases, the first transfer at the project start date and the second contingent on satisfactory review of the Year 1 progress report.
Funds may be used for salary of faculty, graduate students, and other research staff, operating supplies, minor equipment items, prototyping expenses, purchasing time on imaging or other devices, and travel directly associated with the research activity. Tuition support for graduate students may also be requested. Funds will not support general staff or administrative support.