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

The Revolution Apex intelligent computed tomography (CT) scanner

The Revolution Apex intelligent computed tomography (CT) scanner. Image courtesy of GE Healthcare.

News | RSNA | October 18, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA 2019), Dec. 1-6 in Chicago, GE Healthcare...
Selecting an AI Marketplace for Radiology: Key Considerations for Healthcare Providers
Feature | Artificial Intelligence | October 18, 2019
October 18, 2019 — As the nascent market for...
Surgical Institute of Reading Chooses RamSoft's PowerServer Lite PACS
News | PACS | October 18, 2019
Surgical Institute of Reading recently selected RamSoft’s PowerServer Lite PACS (picture archiving and communication...
MaxQ AI's Intracranial Hemorrhage Software to be Integrated on Philips CT Systems
News | Artificial Intelligence | October 18, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that its Accipio intracranial hemorrhage (ICH...
Siemens Healthineers Announces First U.S. Install of Multix Impact Digital Radiography System
News | Digital Radiography (DR) | October 18, 2019
DHR Health in Edinburg, Texas, recently became the first healthcare facility in the United States to install the Multix...
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | October 17, 2019 | Steve Holloway
October 17, 2019 — The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven deb
USF Health Expands Digisonics System With Vascular Reporting
News | Cardiac PACS | October 17, 2019
University of South Florida (USF) Health in Tampa, Fla., has enhanced their use of the Digisonics Cardiovascular...
Sectra Adds DePuy Synthes 3-D Templates to Pre-Operative Orthopedic Solution
News | Orthopedic Imaging | October 17, 2019
International medical imaging information technology (IT) and cybersecurity company Sectra is extending its pre-...
Intelerad's nuage Patient Portal

Intelerad's nuage Patient Portal. Image courtesy of Intelerad.

News | Enterprise Imaging | October 17, 2019
Intelerad Medical Systems announced that OneWelbeck, a London operator of specialist facilities for minimally-invasive...
Carestream's Focus 35C digital radiography (DR) detector

The Focus 35C detector. Image courtesy of Carestream

News | Digital Radiography (DR) | October 17, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA), Dec. 1-6 in Chicago, Carestream will...