Technology | Artificial Intelligence | November 20, 2018

Philips Launches IntelliSpace Discovery Research Platform at RSNA

Open platform offers radiologists comprehensive data analytics to support development and deployment of artificial intelligence assets in radiology

Philips Launches IntelliSpace Discovery Research Platform at RSNA

November 20, 2018 — Ahead of the 2018 Radiological Society of North America Annual Meeting (RSNA), Nov. 25-30 in Chicago, Philips announced the introduction of the IntelliSpace Discovery 3.0 platform. IntelliSpace Discovery 3.0 is a comprehensive, open platform to enable the development and deployment of artificial intelligence (AI) assets in radiology, with the aim to support radiologists in their clinical and translational research.

Solutions that leverage AI have the potential to improve patient care and increase the efficiency of care delivery. However, there are challenges when it comes to introducing AI into healthcare clinical practice. Health systems are consistently faced with questions on how to collect and prepare high-quality data, which methods of training and validating the tools are most appropriate, and how to deploy AI without disruption. Philips combines AI and other technologies with knowledge of the clinical and operational context in which they are used – a people-centered approach called ‘adaptive intelligence’ – to develop integrated solutions that adapt to the needs of healthcare providers.

IntelliSpace Discovery is already used for the development of radiology applications for rendering, segmentation and quantification. For example, it is being used for research and clinical validation, and subsequently the tools/applications can be deployed into the radiology workflow on the Philips IntelliSpace Portal. With the introduction of IntelliSpace Discovery 3.0, the platform now provides research applications and tools for radiologists to aggregate, normalize and anonymize data, which can be visualized and annotated to ‘train’ and validate deep learning algorithms. They can then easily deploy these algorithms as plug-in apps into the research workflow to analyze new datasets and help facilitate clinical research in radiology, oncology, neurology and cardiology.

“We use IntelliSpace Discovery to bring our research activities to the next level. Everybody is talking about artificial intelligence. We are making our own deep learning AI algorithms,” said Prof. David Maintz, head of the Department of Radiology of the University Hospital Cologne in Germany.

The building blocks of IntelliSpace Discovery include:

  • Front End Applications – Integration with existing clinical infrastructure provides seamless access to vendor-agnostic and multimodality data-sets, and research advanced visualization tools allow data to be prepared and processed for AI training with existing AI tools;
  • Study Management – Fully scalable infrastructure contains a vendor-neutral research archive for structured and unstructured data, used to upload and process data;
  • Machine Learning – Research data and deployment platform obtains batch processing in a scalable, high-performance computing environment to support iterative development and validation;  
  • Clinical Research – AI assets and capabilities include multi-parametric enablement, segmentation and annotation, tumor quantification and stratification, deep learning networks and classification; and
  • Research Services – Accessibility to Philips research and development (R&D) for a range of services from consultancy to development.

Philips IntelliSpace Discovery is for research use only and cannot be used for patient diagnosis or treatment selection.

Another example of a solution showcased at RSNA that is powered by adaptive intelligence is Philips Illumeo. Pulling data from various hospital sources, this intelligent software presents a holistic view of the patient and provides relevant tools that adapt to physician needs, offering insights and standardizing their workflow based on their own preferences.

Jeroen Tas, chief innovation and strategy officer, Philips, will host a fireside session on how radiologists can integrate the power of artificial intelligence in their research workflows, taking place on Monday, Nov. 26, at 1:45 p.m. Central in the PhilipsLive! Forum in the Philips booth. He will be joined by Michael Knopp, M.D., Ph.D., director of the Wright Center of Innovation in Biomedical Imaging and a member of the Translational Therapeutics Program at the Ohio State Univeresity Comprehensive Cancer Center (OSUCCC) and Michael Perkuhn, M.D., MSc., Philips research informatics expert in the field in the field of molecular medicine and medical imaging.

Philips’ Homer Pien will also be presenting on “Adaptive Intelligence and radiology efficiency,” on Monday, Nov. 26, at 11:30 a.m. Central in the Machine Learning Showcase. Philips is also participating in a corporate symposium on “Artificial Intelligence: The impact and implications to radiology,” on Tuesday, Nov. 27 from 9:00 – 10:30 a.m. Central. The expert-led discussion will focus on the benefits of incorporating AI within the radiology space, including identification and worklist prioritization, workflow efficiency and productivity, and supporting clinical diagnosis and treatment.

For more information: www.usa.philips.com/healthcare

Related Content

Gadolinium contrast agents (GBCAs) are partly retained in the brain, raising safety concerns, as seen in this MRI.

Gadolinium contrast agents (GBCAs) are partly retained in the brain, raising safety concerns, as seen in this MRI.

News | Radiology Business | February 22, 2019
Imaging Technology News has been recognized with three award nominations from the Jesse H.
Agfa Receives FDA Clearance for DR 800 With Tomosynthesis
Technology | Digital Radiography (DR) | February 21, 2019
Agfa Healthcare has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its DR 800 multipurpose...
Welch Road Imaging Integrates RamSoft PowerServer RIS/PACS With openDoctor
News | PACS Accessories | February 20, 2019
Welch Road Imaging in California recently became the first RamSoft customer to integrate openDoctor with its...
Sponsored Content | Videos | Enterprise Imaging | February 20, 2019
At RSNA 2018, Philips Healthcare introduced Performance Bridge as an integral part of its IntelliSpace Enterprise Edi
Philips Earns FDA Clearance for DigitalDiagnost C90 DR System
Technology | Digital Radiography (DR) | February 20, 2019
Philips announced it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market the...
Philips Launches Zenition Mobile C-arm Platform
Technology | Mobile C-Arms | February 18, 2019
Philips announced the launch of Philips Zenition, its new mobile C-arm imaging platform. Mobile C-arms are X-ray...
Amazon Comprehend Medical Brings Medical Language Processing to Healthcare
News | Artificial Intelligence | February 15, 2019
Amazon recently announced Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows...
Fujifilm Exhibits Enterprise Imaging Solutions and Artificial Intelligence Initiative at HIMSS 2019
News | Enterprise Imaging | February 15, 2019
Fujifilm Medical Systems U.S.A. Inc. and Fujifilm SonoSite Inc. showcased their enterprise imaging and informatics...
IBM Watson Health Announces New AI Collaborations With Leading Medical Centers
News | Artificial Intelligence | February 14, 2019
IBM Watson Health announced plans to make a 10-year, $50 million investment in research collaborations with two...
Medivis Launches SurgicalAR Augmented Reality Platform
Technology | Advanced Visualization | February 14, 2019
Medical imaging and visualization company Medivis officially unveiled SurgicalAR, its augmented reality (AR) technology...