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).
See Tomorrow’s Radiology Today at RSNA 2018.
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!
Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and clinical research operational needs of Department of Radiology of The Ohio State University Wexner Medical Center. REMIX accommodates the storage and handling of “big imaging data,” as needed for large multi-disciplinary cancer-focused programs. The evolving REMIX platform contains an array of integrated tools/software packages for the following: (1) server and storage management; (2) image reconstruction; (3) digital pathology; (4) de-identification; (5) business intelligence; (6) texture analysis; and (7) artificial intelligence. These capabilities, along with documentation and guidance, explaining how to interact with a commercial system (e.g., PACS, EHR, commercial database) that currently exists in clinical environments, are to be made freely available.
Come see our presentation on “Building Tools for Artificial Intelligence Research in Medical Imaging” on Wed. October 24th presenting will be Dr. BS Erdal, Dr. Vikash Gupta, and Dr. Mutlu Demirer!
NVIDIA’s GPU Technology Conference (GTC) is the premier AI and deep learning conference series, providing you with training, insights, and direct access to experts from NVIDIA and other leading organizations.
October 22-24, 2018
March 17-21, 2019
Silicon Valley, California