Siemens Healthineers and ScreenPoint Medical Sign Agreement to Jointly Develop AI-Based Applications in Breast Imaging

Siemens HealthineersSiemens Healthineers and ScreenPoint Medical have agreed to partner to develop artificial intelligence based applications for breast imaging. This collaborative arrangement also includes the acquisition of a strategic minority stake in ScreenPoint Medical by Siemens Healthineers.

The partnership intends to leverage the superior expertise of Siemens Healthineers in breast imaging as well as that of ScreenPoint Medical in mammography decision support to develop innovative clinical applications for breast cancer screening and diagnosis. Professor Nico Karssemeijer, CEO of ScreenPoint Medical, explains, "together with Siemens Healthineers, we can bring our expertise in AI into the entire screening and diagnostic pathway, starting from risk stratification to image acquisition and diagnosis."

"The aim of our collaboration with ScreenPoint Medical is to expand precision medicine by providing automated clinical decision support that makes it easier and faster to distinguish between healthy and tumor tissue, thus increasing diagnostic accuracy," adds Dr. Peter Schardt, head of X-ray Products at Siemens Healthineers. "Working with strong partners such as ScreenPoint will help us drive personalized breast care pathways with new applications based on deep learning and artificial intelligence."

Both companies pool their individual strengths in their strategic partnership. ScreenPoint Medical's current, highly innovative mammography reading software, Transpara, is available for a variety of mammography systems. It enables clinical decisions support and computer aided detection for higher reading accuracy. It has been proven to help radiologists better detect breast cancer with mammography and reduce variations between different users - both aspects integral in expanding precision medicine. Transpara is cleared for clinical use for CE-countries with the digital mammography and reading portfolio of Siemens Healthineers. In the coming months, ScreenPoint plans to attain regulatory approvals for the Transpara solution in further clinical applications and countries.

Siemens Healthineers has a long standing history of innovations in breast imaging and a comprehensive portfolio of systems across ultrasound, mammography and MRI as well as the accompanying reading solutions. The latest addition in mammography, Mammomat Revelation, offers the highest depth resolution on the market with a unique 50-degree wide angle for tomosynthesis. Automated and precise breast density measurements allow for instant risk stratification. On the reading side, Syngo.BreastCare offers advanced visualization for 2D and 3D mammography with automatic workflows and Artificial Intelligence (AI) based tomosynthesis reading.

About Siemens Healthineers

Siemens Healthineers enables healthcare providers worldwide to increase value by empowering them on their journey towards expanding precision medicine, transforming care delivery, improving patient experience and digitalizing healthcare. A leader in medical technology, Siemens Healthineers is constantly innovating its portfolio of products and services in its core areas of diagnostic and therapeutic imaging and in laboratory diagnostics and molecular medicine. Siemens Healthineers is also actively developing its digital health services and enterprise services.

In fiscal 2017, which ended on September 30, 2017, Siemens Healthineers generated revenue of €13.8 billion and profit of €2.5 billion and has about 48,000 employees worldwide.

About ScreenPoint Medical

ScreenPoint Medical was founded in 2014 as a spin-off from Radboud University Medical Center in Nijmegen, The Netherlands, to develop and bring to the market innovative machine learning solutions to improve breast cancer screening and diagnosis. With a strong and experienced team of scientists, ScreenPoint developed the AI system Transpara, which matches the performance of experienced radiologists in detecting breast cancer in screening mammograms. ScreenPoint now focuses on expanding its technology and creating integrated solutions to enable radiologists to achieve the highest quality in an environment that is increasingly demanding.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...