News | Artificial Intelligence | September 21, 2017

SIIM Announces Keynote Speakers for Conference on Machine Intelligence in Medical Imaging

Google and FDA experts to provide innovative insights into machine intelligence in medical imaging

September 21, 2017 — The Society for Imaging Informatics in Medicine (SIIM) recently announced several corporate and government experts as the keynote speakers for the 2nd SIIM Scientific Conference on Machine Intelligence in Medical Imaging (C-MIMI). The conference will be held Sept. 26-27 in Baltimore, Md., at the Johns Hopkins University.

Presentations will feature:

Gregory J. Moore, M.D., Ph.D., VP Healthcare, Google Cloud. Moore, who will discuss "Intelligent Medical Imaging at Scale: Insights from Applying Deep Learning," is an engineer (MIT Ph.D.), practicing neuroradiologist, informaticist and innovator. As Google's senior global healthcare leader, Moore leads the healthcare vertical for Google Cloud and partners closely with various Google teams (i.e. Brain) and the Alphabet companies (i.e. DeepMind), to guide and develop innovative healthcare products and solutions leveraging machine learning/artificial intelligence (AI) and advanced analytics at scale;
Berkman Sahiner, Ph.D., leader, DIDSR Image Analysis Laboratory, U.S. Food and Drug Administration. As the leader at the Division of Imaging, Diagnostics and Software Reliability at the FDA, Sahiner performs research related to evaluation of medical imaging and computer-assisted diagnosis devices. In his talk, "FDA Perspectives on Machine Learning and Software Development for Medical Image Interpretation", Sahiner will discuss some of the recent developments, such as a newly-approved DeNovo device, as well as the new PDA Pre-Cert pilot for software devices.

C-MIMI brings together informatics and machine learning experts to discuss state-of-the-art methods, best practices and tools for research, as well as regulatory and business considerations.

"The SIIM C-MIMI conference has become the must-attend event for medical imaging researchers in machine intelligence. The research presented here will advance the state of the science in our field. We are thrilled to host it in Baltimore this year at Johns Hopkins," said Paul Nagy, Ph.D., SIIM chair, deputy director, JHM Technology Innovation Center, associate professor, Johns Hopkins University School of Medicine.

In addition to the Google Cloud and FDA keynote addresses, the NVIDIA Deep Learning Institute and over 30 scientific abstract presentations will highlight this conference.

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For more information: www.siim.org/2017cmimi