Philips Launches Artificial Intelligence Platform for Healthcare
By MedImaging International staff writers Posted on 05 Apr 2018 |

Image: The HealthSuite Insights platform is designed to give data scientists, software developers, clinicians and healthcare providers access to advanced analytic capabilities to curate and analyze healthcare data, and offers them tools and technologies to build, maintain, deploy and scale AI-based solutions (Photo courtesy of Philips Healthcare).
Royal Philips (Amsterdam, the Netherlands) has launched HealthSuite Insights, including the Insights Marketplace, to support the advancing adoption of analytics and artificial intelligence (AI) in key healthcare domains. HealthSuite Insights, which made its debut at the 2018 HIMSS Conference & Exhibition (HIMSS18), gives data scientists, software developers, clinicians and healthcare providers access to advanced analytic capabilities to curate and analyze healthcare data, and offers them tools and technologies to build, maintain, deploy and scale AI-based solutions. Insights Marketplace will provide the healthcare industry's first ecosystem where curated AI assets from Philips and others are readily available for license.
The tools and technologies available through HealthSuite Insights already enable machine learning and deep learning applications in Philips' diagnostic imaging solutions, patient monitoring solutions, and oncology and genomics offerings. The platform allows Philips to leverage AI across these innovations by combining it with other technologies and gain a deep understanding of the clinical, operational and personal context for care professionals and patients/consumers.
The Insights Marketplace will initially offer assets supplied by Philips, while medically validated Philips assets will be added later this year. It will be further expanded in late 2018 to include assets submitted by third parties. AI assets built using the Insights Platform are designed to be secure irrespective of the execution environment, with sophisticated Identity and Access Management, integrated Blockchain services, and data collection and management services built in. The Insights platform can be deployed on a healthcare cloud infrastructure such as the Philips HealthSuite Digital Platform, or on premise at a provider site.
"The quality of your AI is only as good as the quality of the data you feed into it," said Jeroen Tas, Chief Innovation & Strategy Officer Philips. "We have designed HealthSuite Insights to be used by the people who work with patient data on a daily basis and have the contextual understanding; including doctors, clinicians and hospital managers. With the HealthSuite Insights platform, we give them the ability to bring all the relevant patient information together, curate the data and use the power of AI to support precision diagnosis, personalized therapy, early intervention and greater hospital efficiency."
The tools and technologies available through HealthSuite Insights already enable machine learning and deep learning applications in Philips' diagnostic imaging solutions, patient monitoring solutions, and oncology and genomics offerings. The platform allows Philips to leverage AI across these innovations by combining it with other technologies and gain a deep understanding of the clinical, operational and personal context for care professionals and patients/consumers.
The Insights Marketplace will initially offer assets supplied by Philips, while medically validated Philips assets will be added later this year. It will be further expanded in late 2018 to include assets submitted by third parties. AI assets built using the Insights Platform are designed to be secure irrespective of the execution environment, with sophisticated Identity and Access Management, integrated Blockchain services, and data collection and management services built in. The Insights platform can be deployed on a healthcare cloud infrastructure such as the Philips HealthSuite Digital Platform, or on premise at a provider site.
"The quality of your AI is only as good as the quality of the data you feed into it," said Jeroen Tas, Chief Innovation & Strategy Officer Philips. "We have designed HealthSuite Insights to be used by the people who work with patient data on a daily basis and have the contextual understanding; including doctors, clinicians and hospital managers. With the HealthSuite Insights platform, we give them the ability to bring all the relevant patient information together, curate the data and use the power of AI to support precision diagnosis, personalized therapy, early intervention and greater hospital efficiency."
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreMRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can be fatal in infants if not diagnosed and treated early. Even when treated, it may leave lasting damage, such as cognitive... Read more
Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Ultrasound imaging is a vital diagnostic technique used to visualize internal organs and tissues in real time and to guide procedures such as biopsies and injections. When paired with photoacoustic imaging... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Strokes caused by blood clots or other mechanisms that obstruct blood flow in the brain account for about 85% of all strokes. Determining where a clot originates is crucial, since it guides safe and effective... Read more
Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
Liver cancer is the sixth most common cancer worldwide and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is critical for diagnosis and therapy, but manual methods by radiologists... Read more
New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
Postpartum hemorrhage (PPH) is a leading cause of maternal death worldwide. While most cases can be controlled with medications and basic interventions, some become life-threatening and require invasive treatments.... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more