Ferrum Health offers iCAD’s deep AI® For digital breast tomosynthesis and PowerLook® Its platform includes density assessment solutions, empowering radiologists in the early detection of breast cancer and making iCAD’s technology accessible to more women across the country.
Sunnyvale, California., November 23, 2022 /PRNewswire/ — Ferrum healthA leader in healthcare enterprise AI solutions has announced an agreement iCAD, Inc., a global medical technology leader in innovative cancer detection and therapy solutions, to offer iCAD’s Breast AI solutions on the Ferrum Health platform. Onboarding of iCAD Deep AI® For digital breast tomosynthesis (DBT) and Powerlook® Density estimation The tools expand the firm’s suite of AI algorithms in its Women’s Health AI Hub.
“iCAD’s breast AI solutions are playing an important role in the rapid evolution of breast cancer screening,” it said. Pelu Tran, CEO and co-founder of Ferrum Health. “iCAD’s leading technologies give clinicians new tools in the fight against breast cancer, and we are excited to partner with the company to provide greater access to these AI tools that will improve clinical confidence, improve patient care and improve outcomes for women.”
Profound AI® A high-performance, deep learning workflow solution that rapidly analyzes 3D images to detect malignant soft tissue masses and calcifications. Clinically proven in a large reader study to improve radiologist sensitivity by 8%, reduce the rate of false positives and unnecessary recalls by 7%, and reduce radiologists’ reading time by 52.7%. Trained with one of the largest 3D image datasets available, Profound AI provides radiologists with critical information such as lesion certainty of finding and case scores, which helps prioritize caseloads, improve clinical decision making, and reduce physician burnout.
Powerlook® Density Assessment uses mammography images to characterize women’s breast density automating the breast density reporting process. This automated density software provides top-performing accuracy, as well as consistent, accurate and reliable density classification for standardized risk-based screening stratification and reporting.
“The battle against breast cancer has never been more complex, and it’s critical that radiologists are armed with the latest tools to help manage variability, volume and burnout,” said Dr. Stacey StevensPresident and CEO of iCAD, Inc. “Our technologies provide solutions to the challenges radiologists face today and ultimately help them detect cancer at its earliest stages.”
Ferrum Health facilitates healthcare AI selection, validation and deployment with a secure and scalable enterprise AI platform. Offering therapeutic AI hubs in the oncology, orthopedic, cardiovascular, neurology and women’s health clinical space, Ferrum facilitates the selection of AI applications to support patient care. Ferum is the only locally hosted AI platform to protect patient data while eliminating the transfer of protected health information. Ferrum’s unique validation process ensures each tool’s performance on selected patient populations and imaging technology, helping health systems drive better patient outcomes.
Ferrum is about health
Ferrum Health has developed an enterprise AI deployment platform to improve patient outcomes by democratizing health systems’ access to the world’s most innovative and effective clinical AI technologies. The solution provides end-to-end AI hubs that can run countless applications across multiple service lines and seamlessly integrate clinical imaging and administrative data. By 2022, more than 750,000 unique patient records will be analyzed by the Ferum AI Hub platform. For more information, visit www.ferrumhealth.com And follow Ferrum LinkedIn And Twitter.
About iCAD, Inc.
Headquartered in Nashua, NHiCAD® A global medical technology leader providing innovative cancer detection and treatment solutions. For more information, visit www.icadmed.com.
Contact the media
 Conant, E et al. (2019) Improving Accuracy and Efficiency with the Simultaneous Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiology: Artificial Intelligence. 1 (4). Accessed via https://pubs.rsna.org/doi/10.1148/ryai.2019180096
Source: Ferrum Health Inc.