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

SIIM Announces Keynote Speakers for Conference on 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.

Related Content

VIDEO: Examples of Artificial Intelligence in Medical Imaging Diagnostics

VIDEO: Development of Artificial Intelligence to Aid Radiology

How Artificial Intelligence Will Change Medical Imaging

VIDEO: The Future of Imaging Informatics

For more information:

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
LVivo EF Cardiac Tool Now Available for GE Vscan Extend Handheld Mobile Ultrasound
Technology | Cardiovascular Ultrasound | September 19, 2018
DiA Imaging Analysis Ltd. (DiA), a provider of artificial intelligence (AI)-powered ultrasound analysis tools,...
Exact Imaging Partners to Improve Prostate Cancer Detection With Artificial Intelligence
News | Prostate Cancer | September 19, 2018
Exact Imaging, makers of the ExactVu micro-ultrasound platform, has partnered with U.K.-based Cambridge Consultants to...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
Ingenia Ambition X 1.5T MR. This innovation is the latest advance in the Ingenia MRI portfolio, which comprises fully-digital MRI systems, healthcare informatics and a range of maintenance and life cycle services for integrated solutions that empower a faster, smarter, and simpler path to enabling a confident diagnosis
News | Magnetic Resonance Imaging (MRI) | September 14, 2018
Philips, a global leader in health technology, launched the Ingenia Ambition X 1.5T MR.
Acuson Sequoia
News | Ultrasound Imaging | September 12, 2018
Siemens Healthineers announced the first global installation of its newest ultrasound system, the...
Veye Chest version 2
News | Lung Cancer | September 11, 2018
Aidence, an Amsterdam-based medical AI company, announced that Veye Chest version 2, a class IIa medical device, has
Videos | Radiation Therapy | September 07, 2018
A discussion with Ehsan Samei, Ph.D., DABR, FAAPM, FSPIE, director of the Duke University Clinical Imaging Physics Gr
Sponsored Content | Case Study | Information Technology | September 07, 2018
Established in 1970, Sovah Health – Martinsville, Va., resides in the foothills of the beautiful Blue Ridge Mountains...
Sponsored Content | Case Study | Information Technology | September 07, 2018
One of the Northeast’s major teaching hospitals is an international leader in virtually every area of medicine. It has...