iCAD Showcases Advanced AI Solutions for Breast Cancer Detection at SABCS and RSNA 2024

iCAD Presents Groundbreaking AI Research at SABCS 2024

iCAD, Inc. (NASDAQ: ICAD), a leader in AI-powered cancer detection solutions, announced the presentation of four novel AI-driven breast cancer research abstracts at the 2024 San Antonio Breast Cancer Symposium (SABCS) 1

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. The research focuses on improving detection and risk prediction accuracy while assessing disparities across diverse populations.

Key Research Findings

Three research abstracts presented by Dr. Chirag R. Parghi, Chief Medical Officer at Solis Mammography, highlight significant advancements:

1. An AI algorithm for identifying Breast Arterial Calcifications (BAC) showed that BAC prevalence increases with age but doesn't vary by race, suggesting its potential as a universal cardiovascular biomarker 1

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2. An AI-driven short-term breast cancer risk assessment score demonstrated effectiveness across race and breast density, potentially addressing gaps in traditional mammography 1

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3. AI-based mammographic case scoring showed consistency across different racial and breast density groups, indicating potential for more equitable screening results 1

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Additionally, Dr. Mikael Eriksson from Karolinska Institute presented research on a 10-year image-derived AI-risk model based on iCAD's ProFound Risk solution, which outperformed the clinical Tyrer-Cuzick v8 risk model 1

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iCAD's Advancements at RSNA 2024

At the Radiological Society of North America (RSNA) 2024 Annual Meeting, iCAD showcased its latest breast health AI technologies 2

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1. FDA-cleared ProFound Detection Version 4: This next-generation AI solution incorporates prior exams into current analysis, improving aggressive cancer detection by 22% and reducing cases with no marks by 18% 2

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2. Partnership with Cascaid Health: The collaboration will launch ProFound Health, a virtual care model enabling women to access AI-powered breast health services. This initiative aims to democratize access to advanced breast health technology 2

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Impact on Breast Cancer Detection

Dr. Kathy Schilling, Medical Director at Boca Raton Regional Hospital, reported significant improvements in cancer detection rates after integrating ProFound AI:

• 23% overall increase in cancer detection rates
• 4% rise in invasive cancer detection
• Doubled rates of lobular cancer detection 4

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These advancements address critical gaps in breast cancer screening, particularly for women with dense breast tissue, where traditional mammography often falls short 2

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Future Implications

The research and technological advancements presented by iCAD at SABCS and RSNA 2024 demonstrate the potential of AI to revolutionize breast cancer detection and risk assessment. By providing more accurate, consistent, and equitable screening results across diverse populations, these AI solutions could significantly improve early detection rates and patient outcomes in breast cancer care.