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Densitas and ACR Learning Network: A Strategic Collaboration for Improvement in Mammography

Densitas, a prominent player in artificial intelligence (AI) solutions for breast cancer screening, recently announced its strategic partnership with the ACR (American College of Radiology) Learning Network. This collaboration aims to significantly enhance the standards of mammography positioning across the United States, ultimately improving the quality of breast cancer screening.

The ACR Learning Network serves as a key initiative of the ACR, created to foster quality and performance improvements in radiology practices nationwide. By providing a platform for shared learning, coaching, and data-driven assessments, the ACR Learning Network facilitates continuous improvement in imaging practices. A highlight of this network is the ACR ImPower Program, which is specifically focused on equipping radiological facilities with the necessary tools and guidance to improve imaging quality and patient outcomes.

Densitas is excited about collaborating with the ACR Learning Network to align its innovative AI solutions with the objectives of this quality improvement initiative. By participating in the ACR Mammography Positioning Improvement Collaborative, Densitas aims to engage closely with mammography facilities and the ACR ImPower Program team to share expertise and drive continuous improvement.

As highlighted by a study published in the American Journal of Roentgenology, there is a pressing need for enhanced positioning techniques in mammography. The study revealed that only 67% of mammography images adhered to the positioning criteria set by the ACR improvement collaborative. This statistic underscores a critical gap where consistency and accuracy are needed to ensure effective breast cancer detection.

The ACR Mammography Positioning Improvement Collaborative consists of a rigorous six-month program involving ten educational sessions. These sessions focus on hands-on training and performance assessments, while also providing access to best practices designed to mitigate variability in imaging and enhance diagnostic accuracy.

In celebrating their partnership, Mo Abdolell, CEO of Densitas, stated, “Collaborating with the ACR Learning Network marks a significant milestone for Densitas. We are dedicated to empowering mammography facilities to achieve consistently high-quality imaging.” Abdolell emphasized that their involvement in the improvement collaborative will pave the way for a shared vision that centers on enhancing mammography quality.

The collaboration between Densitas and the ACR Learning Network is not just a partnership; it represents a commitment to creating a culture of continuous improvement within the mammography field. As both entities focus on equipping mammography practices with resources, AI-enabled tools, and shared learning opportunities, they aim to make lasting advancements in breast cancer detection quality and patient outcomes.

Densitas is known for providing scalable operational AI solutions aimed at enhancing the efficiency and quality of breast cancer screening. The company focuses on not only standardizing mammography positioning but also streamlining compliance with MQSA (Mammography Quality Standards Act) EQUIP standards and ACR improvement collaborative standards. This ensures that healthcare providers can enhance their workflows while maintaining high safety and quality levels in patient care.

For more information, resources, and updates on their initiatives, one can visit Densitas and learn further about how these advancements are shaping the future of breast cancer screening and care.

Ultimately, as Densitas and the ACR Learning Network embark on this promising collaboration, they are setting a transformative path for mammography practices across the United States. By leveraging technology and shared knowledge, they are driving forward a commitment to improving healthcare standards and patient outcomes in breast cancer screening.