You're pledging to donate if the project hits its minimum goal and gets approved. If not, your funds will be returned.
$48,000 left to reach the funding goal.
We're testing a new research strategy that uses AI not only to keep the literature current, but also to explore how studies relate to one another and identify potentially important connections that may be missed or difficult to recognize through traditional literature reviews.
Our goal is to expand NeuroRad.ai into more areas of radiology and try to validate whether AI can help us perform deeper literature reviews, potentially identify more connections between studies, and recognize gaps that may have been missed in the past.
The funding we're asking for would support the computing resources and independent clinical review needed to expand this work. We also want to maintain a public record of these changes on the website and be transparent about any updates or corrections to the evidence, so readers and researchers can follow how our understanding of this method evolves over time.
This project will be considered effective if AI can identify meaningful connections between studies, recognize gaps in the literature, and keep the information current as new research becomes available. We will track these connections and evaluate how many hold up after clinical review.
Ideally, we also want to determine whether this approach is useful to clinicians and researchers when evaluating ideas for new research. We could assess this by surveying researchers in the field to see whether the resource helps them identify meaningful gaps in the literature and develop research questions that could have an impact on clinical management.
The requested funding will support computing resources, growing computational needs, and independent clinical review. It will also help maintain the website as a free, publicly accessible resource.
The largest portion of the funding will go toward my time reviewing and clinically verifying the results produced by AI, as well as bringing in additional contributors to help evaluate and ensure the accuracy of the information gathered. Some of the funds will also cover editorial support and project management.
I am the primary researcher, E. Brooke Schrickel, MD. I am an academic neuroradiologist and assistant professor of radiology at a major university. I completed my neuroradiology fellowship at Yale and am board-certified in diagnostic radiology with a Certificate of Added Qualification in neuroradiology.
I developed NeuroRad.ai as a way to explore how AI could help us organize medical information and literature, and identify possible relationships that may have been missed in the past due to the fragmentation of information. A manuscript describing our approach is currently under review at JAMIA Open, and the resource is already publicly available.
Tab is the CEO of Resonant Labs, LLC, and oversees business operations and project management.
My previous work includes research involving AI-assisted radiology report generation, ground truth evaluation, brain tumor segmentation, and the development of educational resources for radiology trainees.
If this project fails, it could mean that AI is not able to consistently identify meaningful connections between research studies, or that the connections it identifies may not hold up after clinical review. Another challenge will be the amount of computing resources and clinical review time needed to keep up with the growing volume of literature.
If that is the case, narrowing the scope of the literature being reviewed or changing how we have set up the AI to evaluate the evidence would be the next step. However, even if the approach is unsuccessful, we would still gain useful information about its limitations, identify where AI makes mistakes, and explore ways to prevent those mistakes in the future.
We have not raised any external funding in the last 12 months. This has been a self-funded project, and given the positive traction with our research papers currently being considered for publication, we feel that now may be the right time to seek additional funding to expand the research and allow more people to benefit from the resource.