STAMFORD, Conn., Nov. 21, 2017 /PRNewswire/ -- FUJIFILM Medical Systems U.S.A., Inc., a leading provider of diagnostic imaging and medical informatics solutions will offer a groundswell of opportunities to advance radiology education tied to the 103rd scientific assembly and annual meeting of the Radiological Society of North America (RSNA). In addition, Fujifilm will offer educational events featuring leading experts and will award recipients of the FUJIFILM Medical Systems U.S.A., Inc./RSNA Research Seed Grants.

"Fujifilm's goal is to deliver more value to our customers and in turn to their patients and assist in improving the quality of life," said Johann Fernando, Ph.D., Chief Operating Officer of FUJIFILM Medical Systems U.S.A., Inc. "Fujifilm's educational initiatives offered to RSNA attendees, our investment in top researchers in the field, and our suite of solutions, underscores our focus on the entire continuum of care – prevention, diagnosis and treatment."

At RSNA 2017, Fujifilm will offer two educational events in the topics of artificial intelligence and machine learning within medical informatics, and the latest strategies to diagnose breast cancer through imaging in women's health.
Potential Impact of Artificial Intelligence and Machine Learning on Imaging

Fujifilm has evolved into a comprehensive healthcare company, offering products in the fields of prevention, diagnostics and treatment. At RSNA 2017, Fujifilm will sponsor a Lunch & Learn event on how artificial intelligence (AI) and machine learning (ML) could impact the field of radiology and specifically, how AI and ML can assist in the development of new predictive tools within neuro imaging, changing the way researchers study aging and Alzheimer's disease. The Lunch and Learn will take place on Monday, November 27, 12:30-1:30 p.m. in room S403A in the South Building, and will be presented by the following industry leaders:

Li Shen, Ph.D.
Associate Professor, Center for Neuroimaging, Department of Radiology and Imaging Sciences
Associate Director, Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
Indianapolis, IN
Bill Lacy
Vice President, Medical Informatics Business
FUJIFILM Medical Systems U.S.A., Inc.
Stamford, CT
Complimentary registration for the Artificial Intelligence and Machine Learning Potential with Imaging Lunch and Learn is here: http://rsna.fujimed.com/lunch-learn

Innovations in Mammography for Improved Patient Care

Fujifilm is excited to offer a complimentary educational symposium focused on women's health for attendees. The event, Innovations in Mammography for Improved Patient Care will convene industry experts for an evening of networking and discussion along with a distinguished panel of global opinion leaders in women's health to explore the latest strategies and technologies in the use of digital breast tomosynthesis in the fight against breast cancer. Join the following speakers on November 27, 6:30-9:00 p.m. at the Chicago Museum of History:

Rad Oncology Homepage