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In a reader study published in Radiology : Artificial Intelligence, ProFound AI for DBT was shown to offer clinically proven time-savings benefits to radiologists, reducing reading time by 52.7%, improving radiologist sensitivity by 8%, and reducing false positives and unnecessary patient recall rates by 7.2%.

#Icad news software

The software is also available for 2D full-field digital mammography (FFDM). ProFound AI for Digital Breast Tomosynthesis (DBT) became the first 3D tomosynthesis software using artificial intelligence (AI) to be FDA cleared in December 2018.

ProFound AI is a high-performance, deep-learning, workflow solution trained to detect malignant soft tissue densities and calcifications. We’ve really gotten to trust it, and I am confident that more of those subtle, obscured lesions will be picked up earlier because of this.” “For example, I have seen this technology identify undetectable breast cancer cases one year earlier. “After a year of using it, I’ve come to an eye-opening realization: ProFound AI is looking at things that we clinicians don’t necessarily recognize as signs of cancer,” added Dr. ProFound AI helped us to read those cases quickly with the confidence that we were not missing cancers.”

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We paused our screening mammogram program per Society of Breast Imaging (SBI) recommendations during the beginning of the pandemic, but were quickly back to full plus volume by August 2020. “We are typically a very high-volume practice reading more than 50,000 screening mammograms per year, and the addition of a ‘second reader’ via ProFound AI helped our radiologists absorb our increased workload. Just before that time, in mid-2019, we converted our practice to 100% tomosynthesis,” said Dr. “We began the implementation of ProFound AI at the end of 2019 and completed the rollout in the middle of the pandemic, in mid-2020.

Barry Rosen, MD FACS, Medical Director, Advocate Good Shepherd Hospital, Breast Center Assistant Professor, University of Illinois College of Medicine.

Rakesh Patel, MD (Moderator), Managing Partner, Precision Cancer Specialists, Inc. Chair, Breast Cancer Program, Good Samaritan Hospital, Los Gatos, CA.

Neesha Patel, MD, Director of Breast Imaging and Residency and Clerkship Academic Director, Kings County Hospital, SUNY Downstate.

Nepute, MD, Radiologist, IU Health Frankfort, IU Health Arnett, IU Health White Memorial, Lafayette, IN

Diana James, MD, PhD, Radiologist, Director of Breast Imaging at Jefferson Radiology, Hartford, CT.

Angela Fried, MD, Director of Breast Imaging at SimonMed Imaging, Daly City, CA.

The event will feature leading specialists in breast cancer detection and treatment, including: This educational roundtable features leading experts who will discuss their experiences with pandemic-related clinical, economic and volume-based challenges, as well as best practices on leveraging new technology-such as ProFound AI ®-to help overcome these hurdles.” “Mammography dropped by as much as 92% in some areas at the height of the pandemic, creating a massive mammography backlog, 1 but as more Americans are becoming vaccinated, women have begun to return to imaging centers for cancer screening. “Clinicians are in need of new solutions to navigate today’s challenges,” said Stacey Stevens, President of iCAD.

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Titled “ Pandemic Recovery: How New Technology Can Support Clinicians and Patients in the Aftermath of COVID-19,” the free event will take place on September 14, 2021, at 7 pm ET/4 pm PT. (NASDAQ: ICAD), a global medical technology leader providing innovative cancer detection and therapy solutions, today announced that it will host an educational roundtable event to help clinicians and their facilities recover from the impact of the COVID-19 pandemic. All Rights Reserved.Leading experts to discuss novel AI technology helping them overcome pandemic-related challenges including substantial mammography backlog

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