News | Artificial Intelligence | September 21, 2017

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: www.siim.org/2017cmimi


Related Content

News | Advanced Visualization

July 28, 2025 — Frost & Sullivan has named Siemens Healthineers the 2025 North America Company of the Year in the ...

Time July 28, 2025
arrow
News | Radiology Imaging

July 25, 2025 — Data in recent staffing surveys from the American Society of Radiologic Technologists show that vacancy ...

Time July 25, 2025
arrow
News | X-Ray

July 24, 2025 — GE HealthCare has announced the commercial availability of an advanced floor-mounted digital X-ray ...

Time July 24, 2025
arrow
News | Artificial Intelligence

July 17, 2025 — HOPPR, a secure AI development platform for medical imaging, has announced the commercial release of its ...

Time July 17, 2025
arrow
News | Breast Imaging

July 17, 2025 — RadNet, Inc., a provider of high-quality, cost-effective diagnostic imaging services and digital health ...

Time July 17, 2025
arrow
News | Focused Ultrasound Therapy

July 15, 2025 — Newswise —The UK Focused Ultrasound Foundation and Pancreatic Cancer UK have announced a new partnership ...

Time July 16, 2025
arrow
News | Digital Radiography (DR)

July 10, 2025 — Fujifilm Healthcare Americas Corp. has launched several advanced automated functions for its FDR ...

Time July 10, 2025
arrow
News | Prostate Cancer

July 9, 2025 — Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer ...

Time July 09, 2025
arrow
News | Computed Tomography (CT)

July 01, 2025 — NANO-X Imaging Ltd. recently announced a clinical and educational collaboration with Keiser University ...

Time July 03, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

July 2, 2025 — Philips has received FDA 510(k) clearance for SmartSpeed Precise[1] MR’s latest deep learning ...

Time July 03, 2025
arrow
Subscribe Now