How AI Transforms Early Breast Cancer Detection, and Improves Outcomes

We are pleased to present an exclusive interview with Dana Brown, CEO and Chairman of the Board at iCAD Inc., to explore the future of breast cancer screening and the role of artificial intelligence innovations in reducing false positives and improving outcomes. In this session, we will also discuss how AI technology can help women receive earlier and more accurate diagnoses. You can also follow this interview on LinkedIn using this link:>>>

With breast cancer rates rising sharply among young women, early and accurate detection is more critical than ever. In this insightful discussion, Dana shares how iCAD’s AI-powered technologies are enhancing diagnostic accuracy and reducing false positives, particularly for women with dense breast tissue. Discover the future of personalized breast health and the transformative role of AI in clinical practice.

Some of the main topics in this interview include:

• Your recent studies presented at SABCS 2024 highlight AI's role in breast cancer detection and risk assessment across diverse populations. How does AI improve early detection in women with different racial backgrounds and varying breast densities?
• One of the biggest challenges in breast cancer screening is false positives, which can lead to unnecessary biopsies and patient anxiety. How does AI reduce false recalls while maintaining high sensitivity in detecting aggressive cancers?
• With the rise of more aggressive breast cancers in younger women, how does AI help radiologists detect invasive lobular cancers earlier, and what impact does that have on treatment planning?

• AI is often viewed as a tool to support, rather than replace, radiologists. How do you see the role of AI evolving in cancer diagnostics, and what level of autonomy can we expect AI to have in future clinical decision-making?