AI Technology for Detecting Breast Cancer Receives CE Mark Approval
By MedImaging International staff writers Posted on 17 Jul 2019 |

Image: ProFound AI for 2D Mammography analyzes each mammography image and provides insight into each individual case (Photo courtesy of iCAD).
iCAD, Inc. (Nashua, NH, USA), a provider of cancer detection and therapy solutions, has received CE Mark approval for its artificial intelligence (AI) technology and workflow solution, ProFound AI for 2D Mammography. The technology is the latest addition to iCAD’s deep-learning ProFound AI platform, joining ProFound AI for Digital Breast Tomosynthesis (DBT), which was CE Marked in March 2018, FDA-cleared in December 2018, and Health Canada licensed in July 2018. The technology has been developed to support the detection of breast cancer through the identification of soft tissue densities and calcifications.
ProFound AI for 2D Mammography is a high-functioning, deep-learning algorithm that analyzes each mammography image and provides critical insight into each individual case, such as highlighting the most suspicious areas and assigning unique Certainty of Finding and Case Scores, which can assist radiologists in making clinical decisions and prioritizing caseloads. The ProFound AI platform is built upon the latest in deep-learning AI and allows for continuously improved performance via ongoing software updates.
“Europe contains 9% of the world’s population but has more than 23% of the global cancer burden, with breast cancer being the most common cancer among European women,” said Stacey Stevens, President of iCAD. “This CE Mark further validates our ProFound AI platform as a world-class artificial intelligence solution that offers benefits to both radiologists and screening-aged women in detecting breast cancer. iCAD is committed to improving patient care worldwide and we are pleased to offer this powerful technology to a growing number of hospitals, imaging centers and women across Europe.”
“ProFound AI for 2D Mammography has the potential to assist radiologists in their interpretation of 2D mammography images, as we have seen with ProFound AI for DBT,” said Axel Gräwingholt, MD, Radiologie am Theater, in Paderborn, Germany. “As breast cancer rates continue to rise, it is imperative for radiologists to find cancers sooner, when they may be more easily treated, with fewer callbacks and false positives, which can be inconvenient and stressful for patients.”
ProFound AI for 2D Mammography is a high-functioning, deep-learning algorithm that analyzes each mammography image and provides critical insight into each individual case, such as highlighting the most suspicious areas and assigning unique Certainty of Finding and Case Scores, which can assist radiologists in making clinical decisions and prioritizing caseloads. The ProFound AI platform is built upon the latest in deep-learning AI and allows for continuously improved performance via ongoing software updates.
“Europe contains 9% of the world’s population but has more than 23% of the global cancer burden, with breast cancer being the most common cancer among European women,” said Stacey Stevens, President of iCAD. “This CE Mark further validates our ProFound AI platform as a world-class artificial intelligence solution that offers benefits to both radiologists and screening-aged women in detecting breast cancer. iCAD is committed to improving patient care worldwide and we are pleased to offer this powerful technology to a growing number of hospitals, imaging centers and women across Europe.”
“ProFound AI for 2D Mammography has the potential to assist radiologists in their interpretation of 2D mammography images, as we have seen with ProFound AI for DBT,” said Axel Gräwingholt, MD, Radiologie am Theater, in Paderborn, Germany. “As breast cancer rates continue to rise, it is imperative for radiologists to find cancers sooner, when they may be more easily treated, with fewer callbacks and false positives, which can be inconvenient and stressful for patients.”
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
- 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-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreMRI
view channel
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreNuclear Medicine
view channel
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read more
New Molecular Imaging Test to Improve Lung Cancer Diagnosis
Lung cancer continues to be one of the leading causes of cancer-related deaths, primarily because it often goes undetected until it reaches more advanced and aggressive stages. Panitumumab, a humanized... Read more![Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242) Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2025-02-24/Brugarolas_F8.large.jpg)
Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more![Image: Autoradiography images showing binding of [18F]flortaucipir, [18F]MK6240, and [18F]PI2620 in prefrontal cortex, hippocampus, and cerebellum (A) and in whole-brain hemisphere (B) of control and AD brains (Photo courtesy of UFRGS) Image: Autoradiography images showing binding of [18F]flortaucipir, [18F]MK6240, and [18F]PI2620 in prefrontal cortex, hippocampus, and cerebellum (A) and in whole-brain hemisphere (B) of control and AD brains (Photo courtesy of UFRGS)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2025-02-12/F2.large.jpg)
Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
In Alzheimer’s disease, tau tangles are closely linked to cognitive decline: the greater the number of tangles, the more severe the cognitive impairment. By measuring the amount of tau in brain tissue... Read moreGeneral/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... Read moreIndustry News
view channel
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