This session will cover the many ways that users can import data into the Flywheel platform. Users will import sample data via Flywheel User Interface. We will also demonstrate options for bulk (terabyte or petabyte-scale) data import.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

In this session, we will explore the many ways Flywheel helps you curate your medical imaging data, from automated data classification, tagging, and organization, to exportable annotations within our zero footprint viewer, to reader tasks that can help you prepare and label data in preparation for machine learning at scale.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

In this session, attendees will hear best practices from Dr. Sachin Jambawalikar, Columbia University, on how to leverage the vast potential of medical imaging data across both academic and clinical research workflows, saving time and resources to continue pushing boundaries for innovation.

Join this discussion to learn how Flywheel, NVIDIA, and AWS support clinicians and researchers in accessing, analyzing, training and securely sharing data for machine learning and imaging research.

Leaders will share real-world insights on how to overcome common challenges in managing complex imaging data and discuss how to build scalable AI solutions into hospital ecosystems to automate essential processes and gain rapid insights from medical data.

The Flywheel OHIF Viewer is a zero footprint general radiology viewer that allows you visualize, annotate, and segment medical imaging data within Flywheel. In this session, we will showcase the Flywheel OHIF Viewer’s core functionalities and discuss some of our newest Viewer features. We will also explore Flywheel’s Reader Workflows which allows Flywheel users to scale and standardize qualitative and quantitative annotation workflows in preparation for machine learning.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Flywheel and NVIDIA make it easy to stage complex, compute intensive workflows for medical imaging. Join this session to learn how you can define processing and analytic workflows on Flywheel and leverage NVIDIA GPUs whether those are on-premises or in the cloud.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Come learn how you can speed your machine learning life cycle with Flywheel and NVIDIA. In this session, we will show you how you can apply open source models from MONAI or develop your own AI models with analysis-ready data all within Flywheel–and then add a validated AI model to your automated compute toolkit within Flywheel.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Register to join visionary sessions for a sneak peek at potential future functionality from Flywheel. Come talk with our team to explore integrating EMR data with imaging, using AI for automated curation, cohorting with natural language queries and more.

This session will cover the many ways that users can import data into the Flywheel platform. Users will import sample data via Flywheel User Interface. We will also demonstrate options for bulk (terabyte or petabyte-scale) data import.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

In this session, we will explore the many ways Flywheel helps you curate your medical imaging data, from automated data classification, tagging, and organization, to exportable annotations within our zero footprint viewer, to reader tasks that can help you prepare and label data in preparation for machine learning at scale.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Register to join visionary sessions for a sneak peek at potential future functionality from Flywheel. Come talk with our team to explore integrating EMR data with imaging, using AI for automated curation, cohorting with natural language queries and more.

The Flywheel OHIF Viewer is a zero footprint general radiology viewer that allows you visualize, annotate, and segment medical imaging data within Flywheel. In this session, we will showcase the Flywheel OHIF Viewer’s core functionalities and discuss some of our newest Viewer features. We will also explore Flywheel’s Reader Workflows which allows Flywheel users to scale and standardize qualitative and quantitative annotation workflows in preparation for machine learning.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Flywheel and NVIDIA make it easy to stage complex, compute intensive workflows for medical imaging. Join this session to learn how you can define processing and analytic workflows on Flywheel and leverage NVIDIA GPUs whether those are on-premises or in the cloud.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop

Come learn how you can speed your machine learning life cycle with Flywheel and NVIDIA. In this session, we will show you how you can apply open source models from MONAI or develop your own AI models with analysis-ready data all within Flywheel–and then add a validated AI model to your automated compute toolkit within Flywheel.

*Please bring your own laptop with Google Chrome browser installed to this hands-on workshop