Flywheel, a leading data management platform for biomedical research and collaboration, is creating a federated data network aimed at improving artificial intelligence (AI) for breast imaging.

November 28, 2022 — Flywheel, a leading data management platform for biomedical research and collaboration, is creating a federated data network aimed at improving artificial intelligence (AI) for breast imaging. Funded in part by the National Institutes of Health (NIH), the federated network will support breast imaging AI research and collaboration on a scale not previously possible.

Two Flywheel technologies underpin the project. Flywheel Discovery, a cohort discovery tool, will connect with the imaging archives, mammography information systems, and EHRs of participating healthcare providers to identify relevant breast imaging data and curate it to common standards. Summaries of the datasets will then be published on Flywheel Exchange, a next-generation platform for research data sharing, where they can be browsed by researchers and licensed for secure use.

More diverse data is sorely needed by AI developers. Currently, data from health systems in just a few states makes up the majority of training data for deep learning algorithms, while broad swaths of the country are “data deserts” with little to no representation. This can contribute to bias in AI and further compound the disparate outcomes between populations of breast cancer patients. Given the shortage of breast imagers in many communities, providers need the most accurate AI tools possible to assist radiologists in increasing efficiency and quality of care.

Flywheel Exchange keeps patient data in place, simplifying compliance with HIPAA and IRB requirements for researchers. Testing and improving AI through federated analysis and federated learning is accomplished through moving the algorithm(s), rather than the data, across institutional lines. Healthcare providers retain full possession of patient data, while the algorithm being trained “visits” the data where it resides and carries weighted scores back to researchers. As healthcare providers embrace this approach, federated learning has the potential to dramatically improve the amount and diversity of data available to the research community.

“We are creating the complete data science stack to address the all-too-common challenges of healthcare researchers and AI developers,” said Jim Olson, CEO of Flywheel. “This solution combines both federation capabilities and the data science infrastructure to capture data and ensure consistent curation. Without that, researchers spend 80% of their time on menial datawrangling tasks. We’re creating the tools for data owners and data consumers to find each other and collaborate with unprecedented efficiency so they can make breakthroughs in care.”

Flywheel plans to unite academic medical centers, community health systems, and essential hospitals on its network, further building the catalog of data that AI developers, life sciences companies, and other researchers can license to power their research.

For more information: www.flywheel.io

Find more RSNA22 coverage here


Related Content

Videos | Information Technology

A discussion on macro trends and the future of medical imaging with Jef Williams, managing partner, Paragon Consulting ...

Time February 07, 2023
arrow
News | Breast Density

February 6, 2023 — Awareness of breast density appears to increase one’s perceived breast cancer risk for a short time ...

Time February 06, 2023
arrow
News | Radiation Therapy

February 2, 2023 — DenseBreast-info.org (DBI) announced the results of the study, “Effect of an Educational Intervention ...

Time February 02, 2023
arrow
News | MRI Breast

February 1, 2023 — Compared to other common supplemental screening methods, breast MRI was superior at detecting breast ...

Time February 01, 2023
arrow
News | Radiation Therapy

February 1, 2023 — Radiotherapy is a crucial component of cancer treatment, used to shrink or destroy tumors with high ...

Time February 01, 2023
arrow
Feature | Radiology Business | By Melinda Taschetta-Millane

Here is a recap of what ITN viewers found most interesting during the month of January: 1. A Look at the Changes in 2023 ...

Time February 01, 2023
arrow
News | Radiation Therapy

January 31, 2023 — Age-based heuristics can lead to large differences in breast cancer treatment based on small ...

Time January 31, 2023
arrow
News | Computed Tomography (CT)

January 30, 2023 — Photon-counting detector CT reduces the amount of contrast needed for CT angiography (CTA) while ...

Time January 30, 2023
arrow
Webinar | Information Technology

Postpandemic staffing shortages and increased volumes require radiologists to do more with less, exacerbating burnout ...

Time January 30, 2023
arrow
News | Stereotactic Breast Imaging

January 27, 2023 — According to an accepted manuscript published in ARRS’ American Journal of Roentgenology (AJR), both ...

Time January 27, 2023
arrow
Subscribe Now