Breast cancer has finally met its match

Discover the ProFound power of our Breast AI Suite at RSNA 2022

Booth 4754 | Meeting Suites 205 and 206

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Proven. Powerful. ProFound.

The future of breast care, delivered

The battle against breast cancer has never been more complex, and the need to manage variability, volume and burnout has never been greater. Today’s top imaging challenges call for a solution from tomorrow.

From the world leader in artificial intelligence for breast imaging, we invite you to experience the first, best, and only complete solution for personalized breast cancer screening.

Our Breast AI Suite offers a triple threat of clinically proven cancer detection, density assessment, and risk evaluation solutions, expertly designed to accelerate discovery and improve outcomes.

See why leading imaging facilities worldwide trust our technologies to detect cancer and stop it in its tracks – streamlining workflow, improving accuracy, and personalizing results like never before.

Seeing. Solving. Simplifying.

The trusted partner in tackling today's most complex screening challenges

Improving breast cancer detection1Reducing unnecessary patient recalls and false positives1Standardizing breast density assessment2Identifying women at high-risk of developing breast cancer in the short-term3,4Increasing efficiency and reducing reading time1

Adoption accelerated. Detection delivered.

Access the world-leading breast AI faster and more seamlessly than ever

Learn how you can harness the power of ProFound AI today, with minimum upfront investment and maximum clinical performance.

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“iCAD’s subscription model enabled us to implement and deploy these solutions more rapidly and seamlessly, and to be confident that our facility will always be able to offer the highest level of algorithm performance as new versions are released.”

Matthew Rifkin, MD, Chair of Radiology, Mount Sinai South Nassau

“We recently decided to purchase iCAD’s Breast AI Suite via the subscription model; we found this option to be very flexible, and we were thrilled to learn that updates to the algorithm and service are also included. The way iCAD is implementing this is a game-changer for customers and something we have not seen with other breast AI vendors.”

Sophie Kerlaouezo, Chief of the Facility at the Centre D’imagerie Médicale (CIMVI), Vichy, France

Clinical Presentations

See the power of our Breast AI Suite in action

Monday, November 28

9:00-9:30 am CTClinical Implications of Changes in Artificial Intelligence Software Case Scores from Prior to Current Digital Breast Tomosynthesis Screening ExamDigital poster discussion (Session M2-SPBR)
Learning Center - BR DPS (East Level 3)
Emily F. Conant, MD, Professor and Chief, Division of Breast Imaging at the Hospital of the University of Pennsylvania Medical Center
9:30-10:30 am CTReal World Clinical Impact of Implementing Artificial Intelligence on Radiologists’ Performance in High Volume Mammography ScreeningOral presentation (Session M3-SSBR03)
E451A, East Level A
Axel Gräwingholt, MD, Radiologie am Theater, Paderborn, Germany
1:30-2:30 pm CTLong-term Performance of an Image-based Short-term Risk Model for Breast CancerOral presentation (Session M6-SSBR04)
E451A, East Level 4
Mikael Eriksson, PhD, Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden

Tuesday, November 29

3:00-4:00 pm CTUsing an Artificial Intelligence System to Implement Limited Double Reading in a Single Reader EnvironmentOral presentation (Session T7-SSBR06)
E451B, East Level 4
Robert Nishikawa, PhD, Professor, Department of Radiology, Imaging Research Laboratory at the University of Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging
3:30-3:45 pm CTLeveraging ProFound AI to Enhance Patient Care at Solis Mammography#5149/AI Showcase Open-Air Theater,
South Hall Exhibits
Chirag Parghi, MD, Chief Medical Officer,
Solis Mammography

ProFound Insights. ProFound Impact.

Meet the experts

Visit our booth for a unique opportunity to meet global experts who are blazing the trail in personalized breast care.

Sunday, 12-3pmMark Traill, MDRadiologist,
University of Michigan Health-West
Sun/Mon, 10am-1pmJoshua A. Nepute, MDRadiologist,
IU Health Indianapolis
Monday, 10am-12pmPhilip Blaustein, MDEnvision, Chief of Radiology,
Blake Medical Center
Monday, 10:30am-1:30pmPer Hall, MDProfessor/Senior Physician, Karolinska InstitutetMonday, 11am-2pmAxel Gräwingholt, MDRadiologist
Radiologie am Theater
Monday, 10am-12pm
Tuesday, 2-4pm
Rafaèle Baulieux-Vautrin, MDRadiologist
Imapole (France)
Tuesday, 1-3pm​Mikael Eriksson, PhDDepartment of Medical Epidemiology and Biostatistics, Karolinska InstituteTue/Wed, 12:15-1:15pmRandy Hicks, MD, MBARadiologist, Co-owner & CEO of Regional Medical Imaging

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ProFound Partnership

Flexible integration for maximum innovation

With thousands of installations worldwide, our technologies offer multi-vendor compatibility and seamlessly integrate into the diagnostic process, in any reading environment.

Ask your preferred provider to show you how our Breast AI Suite integrates into their system.

The Complete Package

All-in-one AI

It’s simple: our comprehensive suite of precise, powerful breast AI solutions is expertly engineered to offer unrivaled benefits to clinicians and patients alike.

Zero compromise. Zero comparison.


A ProFound Legacy of Leadership

Deep expertise in deep-learning

2+ decades of AI market leadership50+ global
7,000+ installations worldwide30+ clinical articles & scientific presentations

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Ready to revolutionize your read?

Book a virtual meeting today.

  1. Conant E, Toledano A, Periaswamy S, et al. Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiol Artif Intell. 2019 Jul 31;1(4):e180096. doi: 10.1148/ryai.2019180096.
  2. iCAD data on file.
  3. Eriksson M, Czene K, Strand F, et al. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020, 297(2): 327-333. Epub Sep 8.
  4. Eriksson M, Destounis S, Czene K et al. A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care. Sci Transl Med. 14:644. epub ahead of print 11 May 2022. DOI: 10.1126/scitranslmed.abn3971

© iCAD Inc.  All rights reserved.  iCAD, the iCAD logo, PowerLook, ProFound AI, ProFound, Xoft, the Xoft logo, Axxent, Electronic Brachytherapy System and eBx are registered trademarks of iCAD, Inc. Reproduction of any of the material contained herein in any format or media without the express written permission of iCAD, Inc. is prohibited.

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Breast cancer has finally met its match

Discover the ProFound power of our Breast AI Suite at RSNA 2022

Booth 4754 | Meeting Suites 205 and 206

Book a Meeting