Laboratory for Augmented Intelligence in Imaging
Creating the workflows of the future, promoting accuracy and efficiency
Come visit with us in the Nvidia booth (#10939) at this years RSNA Annual Meeting! We will be demoing many of our projects from the past year running on Nvidia’s Clara infrastructure. Come get a hands on demo and chat with us about our current projects!
Read about our collaboration with Nvidia in deploying Nvidia Clara for deploying models developed here at The Ohio State University into the clinical workflows!
See our live demo and videos that are on display at the Nvidia booth 6568 in North Hall at RSNA 2018!
Coronary Artery Disease Classification Video
Femur Fracture Identification Video
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI).
The Radiological Society of North America brings you the 104th Scientific Assembly and Annual Meeting, scheduled November 25-30 at McCormick Place in Chicago. Join us to experience the hands-on cutting-edge technology of artificial intelligence, 3D printing and virtual reality. Delve into the latest research, and enhance your skills with a course program packed with plenary sessions and over 400 top-level educational courses. Register now to be a part of tomorrow’s medical imaging discoveries today at RSNA 2018!
See us speak/teach!
Introduction to Machine Learning and Texture Analysis for Lesion Characterization (Hands-on, Sessions 1-2) Drs. L.M. Prevedello and B.S. Erdal
Leveraging Machine Learning Techniques and Predictive Analytics for Knowledge Discovery in Radiology (Hands-on, Session 1-2) Drs. L.M. Prevedello and B.S. Erdal
See our Live MSK and Coronary Demo at the Nvidia Booth #6568 in the North Hall!