Revolutionizing Breast Cancer Imaging
AI-Assisted Ultrasound Tomography—Accurate, Painless, and Radiation-Free
AI-Assisted Ultrasound Tomography—Accurate, Painless, and Radiation-Free
Over 41 million mammograms in the U.S. lead to 3.6 million diagnostic reviews each year. With 1 in 8 women developing breast cancer, early and accurate diagnosis is essential. Yet diagnostic reviews are time-consuming, error-prone, and painful—especially for women with dense breast tissue.
Our platform builds on over 40 years of Los Alamos National Lab (LANL) research. Intercept Imaging overlays cutting-edge AI on top of existing ultrasound platforms to enhance diagnostic accuracy while reducing review time.
Our AI diagnostic review platform runs on a SaaS model—$2,400/month per clinic—priced competitively with existing medical software solutions for billing and EHR.
Dr. Lianjie Huang is a Senior Scientist at Los Alamos National Laboratory and a pioneer in ultrasound imaging for early cancer detection. With 30+ years of experience, he’s led breakthroughs in wave-based imaging, machine learning, and computational diagnostics. He holds multiple patents, has mentored over 45 researchers, and bridges physics, medicine, and high-performance computing.
Mike Craig is a SaaS founder and growth strategist with deep experience building audiences, driving adoption, and leading customer-facing teams. He’s scaled mobile platforms, expanded nonprofit donor bases, and led multimillion-dollar consulting projects. With a background in telecom, product marketing, and fundraising, Mike blends strategic vision with hands-on execution.
Theresa Becker is a multidisciplinary technologist with a background in software engineering, computational biology, and social work. She began her career in direct service before pivoting into tech, driven by a desire to build systems that create measurable, positive impact at scale.
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