Ferrum Health will offer the deep AI of iCAD® for digital breast tomosynthesis and PowerLook® Density assessment solutions on its platform, enabling radiologists to detect breast cancer early and expanding access to iCAD technology to more women nationwide.
SUNNYVALE, Calif., November 23, 2022 /PRNewswire/ — Ferrum Healtha leader in AI solutions for healthcare companies, announces an agreement with iCAD, Inc., a global medical technology leader providing innovative cancer detection and treatment solutions, to offer iCAD’s Breast AI solutions on Ferrum Health’s platform. iCAD integration Deep AI® for digital breast tomosynthesis (TBD) and Power Look® Density assessment tools extends Ferrum’s suite of AI algorithms within its AI Center for Women’s Health.
“iCAD’s breast AI solutions play an important role in the rapid evolution of breast cancer screening,” said Pelu Tran, CEO and co-founder of Ferrum Health. “iCAD’s advanced technologies provide clinicians with the latest tools in the fight against breast cancer, and we are thrilled to partner with the company to provide greater access to these confidence-enhancing AI tools. clinic, improve patient care and optimize outcomes for women.”
IA ProFound® is a high-performance deep learning workflow solution that rapidly analyzes 3D images to detect malignant soft tissue densities and calcifications. Clinically proven in a large readership study to improve radiologist sensitivity by 8%, reduce false positives and unnecessary callbacks by 7%, and reduce radiologist reading time by 52.7%. Trained with one of the largest 3D image datasets available, ProFound AI provides radiologists with crucial information, such as lesion certainty and case scores, that help prioritize workloads, clinical decision and can help reduce physician burnout.
Power Look® Density Assessment uses mammogram images to categorize a woman’s breast density by automating the breast density reporting process. This automated density software provides industry-leading accuracy and consistent, accurate and reliable density categorization for standardized risk-based screening stratification and reporting.
“The battle against breast cancer has never been more complex, and it is essential that radiologists are armed with the latest tools to help them manage variability, volume and exhaustion,” said Stacey StevensChairman and CEO of iCAD, Inc. “Our technologies provide solutions to the challenges radiologists face today and ultimately help them detect cancer at its earliest possible stage.”
Ferrum Health simplifies the selection, validation and deployment of healthcare AI with a secure and scalable enterprise AI platform. Offering therapeutic AI centers in the clinical areas of oncology, orthopedics, cardiology, neurology and women’s health, Ferrum facilitates the selection of AI applications to support patient care. patients. Ferrum is the only locally hosted AI platform to protect patient data by eliminating the transfer of protected health information. Ferrum’s unique validation approach ensures the performance of each tool on the chosen patient population and imaging technology, helping healthcare systems improve patient outcomes.
About Ferrum Health
Ferrum Health has developed an enterprise AI deployment platform to improve patient outcomes by democratizing healthcare systems access to the world’s most innovative and impactful clinical AI technologies. The solution provides end-to-end AI Hubs capable of running countless applications across many service lines and seamlessly integrates clinical imaging and administrative data. In 2022, more than 750,000 unique patient records were analyzed via the Ferrum AI Hub platform. For more information, visit www.ferrumhealth.com and follow Ferrum on LinkedIn and Twitter.
About iCAD, Inc.
Based at Nashua, NHiCAD® is a world leader in medical technologies providing innovative solutions for the detection and treatment of cancer. For more information, visit www.icadmed.com.
 Conant, E et al. (2019). Improving accuracy and efficiency through the simultaneous use of artificial intelligence for digital breast tomosynthesis. Radiology: Artificial Intelligence. 1 (4). Accessible via https://pubs.rsna.org/doi/10.1148/ryai.2019180096
SOURCE Ferrum Health Inc.