Building Blocks of Imaging AI Use Case: Flywheel delivers presentation at BioData World West 2019

By September 6, 2019February 3rd, 2022Events, Insights

Oct., 10-11, 2019, Hilton San Diego Resort and Spa, San Diego, California– Flywheel Exchange, is sponsoring a demonstration in booth 14, and an imaging AI use case presentation “Scaling Medical Imaging and Machine Learning in Clinical Research: Data Management, Curation, Computational Workflows” at Bio-Data West 2019. To arrange for a private meeting onsite connect with us here!

The Imaging AI use case presentation by Flywheel CEO, Travis Richardson, describes a framework for a scientific workflow which manages imaging data.  The presentation by Richardson addresses creating standardization of imaging data and metadata from multiple, disparate data repositories. 

Specifically, the presentation walks through managing historical clinical trial imaging data sets, located in a variety of repositories, including: vendor neutral archives (VNAs), picture archiving and communication systems (PACS), file servers, cloud servers, thumbdrives, or even DVDs. Moreover, Richardson reviews the Imaging AI use case challenge of bulk upload ingest of imaging data and metadata, as well as automated validation of an organization’s unique DICOM imaging data and metadata files, structures, and formatting. Also, Richardson reviews how the ingested, standardized, and validated imaging data and metadata is then searchable enabling easy construction of new data sets and training models for future imaging AI training models and research projects. 

Imaging AI use case: compliance, automation and reproducibility

Key to the case study is the Flywheel imaging infrastructure platform. Flywheel exchange provides a collaborative workflow, compliant with the requirements of Institutional Review Boards (IRBs), the Health Information Privacy and Portability Act (HIPPA) and General Data Privacy Regulation (GDPR). Flywheel also automates reproducibility as required for funding by the National Institute of Health (NIH).   

The presentation is of interest to scientific workflow researchers, principal investigators (PIs), imaging lab and center directors, and life science teams seeking to avoid IT bottlenecks, improve the efficiency and speed of imaging AI and research scientific discovery. 

BioData West 2019, as an expo which includes biomedical imaging, data, clinical and research professionals as well as AI & big data, alongside start-ups, growth firms, and Fortune 100 life science organizations, the presentation at BioData West 2019 will facilitate conversations across disciplines.

Flywheel Exchange team members are looking forward to hearing about projects and initiatives, as well as to share their recent insights into biomedical imaging , infrastructure, and solving unique imaging AI challenges.