News | Artificial Intelligence | June 13, 2019

iCAD Introduces ProFound AI for 2D Mammography in Europe

Company to showcase its newest artificial intelligence software solution at the SIFEM Medical Conference in France

iCAD Introduces ProFound AI for 2D Mammography in Europe

June 13, 2019 — iCAD Inc. announced the launch of ProFound AI for 2D Mammography in Europe. This software is the latest addition to iCAD’s deep-learning, artificial intelligence (AI) platform and follows the launch of ProFound AI for Digital Breast Tomosynthesis (DBT), which was CE Marked in March 2018 and U.S. Food and Drug Administration (FDA)-cleared in December 2018. ProFound AI for 2D Mammography and ProFound AI for DBT will both be featured in the iCAD exhibition booth at the Société Française d'Imagerie de la FEMme (SIFEM) medical conference June 13-15, 2019, in Lille, France.

ProFound AI is available for both mammography and tomosynthesis modalities; it is a high-performance, deep-learning, breast cancer detection and workflow solution that offers benefits to radiologists and patients alike. ProFound AI for DBT is clinically proven to improve cancer detection rates by 8 percent, reduce unnecessary patient recall rates by 7.2 percent, and slash reading time for radiologists by 52.7 percent and up to 57.4 percent for dense breast 3-D image analysis.1

“The arrival of the ProFound AI platform has completely changed the way we read tomosynthesis cases. It is a very powerful and extremely useful tool that improves our diagnostic confidence; especially for subtle lesions and dense breasts,” according to Patrick Toubiana, M.D., radiologist, president and cofounder at the C.S.E. Centre Imagerie Médicale Numérique in Paris. “In addition, ProFound AI allows us to optimize our workflow for better reading comfort and a reduction of the interpretation time of the tomosynthesis slices. Today, ProFound AI is a real asset in our daily practice that we could not do without.”

ProFound AI for 2D Mammography and ProFound AI for DBT were designed to rapidly and accurately analyze each image. They provide radiologists with key information, such as certainty of finding lesion and case scores, which assists in clinical decision-making and prioritizing caseloads. Featuring the latest in deep learning AI, the platform also allows for continuously improved performance via ongoing updates.

ProFound AI for 2D Mammography is pending CE Mark in the EU.

For more information: www.icadmed.com

Related Content

FDA Clears iCAD's ProFound AI for Digital Breast Tomosynthesis

VIDEO: How iCad Uses AI to Speed Breast Tomosynthesis

 

Reference

Hoffmeister J. (2018). Artificial Intelligence for Digital Breast Tomosynthesis – Reader Study Results. [White paper]. Accessed June 4, 2019 via https://www.icadmed.com/assets/dmm253-reader-studies-results-rev-a.pdf

Related Content

Varian Unveils Ethos Solution for Adaptive Radiation Therapy
News | Image Guided Radiation Therapy (IGRT) | September 16, 2019
At the 2019 American Society for Radiation Oncology (ASTRO) annual meeting, being held Sept. 15-18 in Chicago, Varian...
3D Systems Earns Additional FDA Clearance for D2P Medical 3-D Printing Software

3D Systems’ D2P FDA-cleared software allows clinicians to 3-D-print diagnostic patient-specific anatomic models. Image courtesy of 3D Systems.

Technology | Medical 3-D Printing | September 12, 2019
3D Systems has received additional U.S. Food and Drug Administration (FDA) 510(k) clearance for its D2P software...
FDA Clears GE Healthcare's Critical Care Suite Chest X-ray AI
Technology | X-Ray | September 12, 2019
GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical Care Suite, a...
Richardson Healthcare Receives CE Mark Approval for ALTA750 Canon/Toshiba CT Replacement Tube
News | Computed Tomography (CT) | September 11, 2019
Richardson Healthcare, a Division of Richardson Electronics Ltd., announced it has received CE Mark approval for the...
Bayer Introduces Medrad Stellant Flex CT Injection System
Technology | Contrast Media Injectors | September 11, 2019
Bayer announced the introduction of the Medrad Stellant Flex computed tomography (CT) injection system. Stellant Flex...
iCAD's ProFound AI Wins Best New Radiology Solution in 2019 MedTech Breakthrough Awards
News | Computer-Aided Detection Software | September 09, 2019
iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top companies and solutions...
Imaging Biometrics and Medical College of Wisconsin Awarded NIH Grant
News | Neuro Imaging | September 09, 2019
Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has received a $2.75 million...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used deep learning, a form of machine learning, which is a type of artificial intelligence. Image courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Society of Breast Imaging (SBI) | September 06, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Philips and Fujifilm booths at SIIM 2019.

Philips and Fujifilm booths at SIIM 2019.

Feature | SIIM | September 06, 2019 | By Greg Freiherr
Pragmatism from cybersecurity to enterprise imaging was in vogue at the 2019 meeting of the Society of Imaging Inform
Sudhen Desai, M.D.

Sudhen Desai, M.D.

Feature | Pediatric Imaging | September 04, 2019 | By Jeff Zagoudis
Burnout has become a popular buzzword in today’s business world, meant to describe prolonged periods of stress in the