First Digital Pathology Solution Receives FDA Clearance
By MedImaging International staff writers Posted on 25 Apr 2017 |

Image: A pathologist using the new digital pathology solution (Photo courtesy of Royal Philips).
After evaluating data from a clinical study including around 2,000 surgical pathology cases, the US FDA has cleared the first digital pathology solution for primary diagnostic use in the U.S.
Digital pathology can help pathologists view and diagnose digital images of surgical pathology slides, streamline workflows in pathology departments, and increase collaboration and diagnostic confidence.
The US Food and Drug Administration (FDA) approval will now enable Royal Philips to market its IntelliSite Pathology Solution for the digital pathology lab.
As cancer cases increase, pathology services need to deal with an increasing number and complexity of tests for cancer care. Digital pathology has already helped increase efficiency in the primary diagnosis of histopathology images outside the U.S. since 2014.
The Philips IntelliSite Pathology solution automates the creation, viewing and management of digital pathology images and includes advanced software tools that help manage information sharing, and other services. Digital pathology can also use computational pathology tools that provide more accurate image analysis, and predictive health management.
General Manager of Philips Digital Pathology Solutions, Russ Granzow, said, “Not only will it promote increased efficiencies and collaboration between pathologists, but it also opens a complete new dimension towards computational pathology which aims to increase accuracies and ultimately enhance patient care. The clearance for Philips IntelliSite Pathology Solution marks a major milestone for innovation in pathology services in the U.S.”
Digital pathology can help pathologists view and diagnose digital images of surgical pathology slides, streamline workflows in pathology departments, and increase collaboration and diagnostic confidence.
The US Food and Drug Administration (FDA) approval will now enable Royal Philips to market its IntelliSite Pathology Solution for the digital pathology lab.
As cancer cases increase, pathology services need to deal with an increasing number and complexity of tests for cancer care. Digital pathology has already helped increase efficiency in the primary diagnosis of histopathology images outside the U.S. since 2014.
The Philips IntelliSite Pathology solution automates the creation, viewing and management of digital pathology images and includes advanced software tools that help manage information sharing, and other services. Digital pathology can also use computational pathology tools that provide more accurate image analysis, and predictive health management.
General Manager of Philips Digital Pathology Solutions, Russ Granzow, said, “Not only will it promote increased efficiencies and collaboration between pathologists, but it also opens a complete new dimension towards computational pathology which aims to increase accuracies and ultimately enhance patient care. The clearance for Philips IntelliSite Pathology Solution marks a major milestone for innovation in pathology services in the U.S.”
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
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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