Specialized AI trained exclusively on pediatric imaging data, built to support radiologists with transparent, step-by-step decision making for thoracic diseases and device localization.
There are 41,000 radiologists in the US, but only 0.5% specialize in pediatrics. General radiologists cover the gap — but with serious consequences for accuracy and speed.
Just 2,032 pediatric radiologists serve over 70 million children in the US. With 30–50 million pediatric imaging scans performed annually, the shortage creates chronic burnout and diagnostic gaps.
Existing AI tools provide conclusions without explanations. Hospital executives told us directly: clinicians won't adopt AI they can't understand. Trust requires transparency.
Pediatric anatomy, physiology, and disease patterns differ fundamentally. Adult-trained AI fails to generalize to young patients — yet 97% of FDA-approved radiology AI uses no pediatric data.
A suite of AI tools built from the ground up for pediatric imaging — starting with thoracic disease detection and support device localization. Every output comes with a step-by-step visual explanation.
Every finding is backed by anatomical landmarks from the patient database. Clinicians see the reasoning, not just the result, reducing time-to-trust dramatically.
Our models are trained exclusively on pediatric imaging. Unlike general AI repurposed for children, our system understands the actual physiology and disease patterns it's diagnosing.
Adapts to your hospital's specific imaging hardware and protocols, eliminating the bias that generic, one-size-fits-all AI systems introduce into every read.
Two products in development — thoracic disease detection and support device localization. Both pediatric-first, both fully explainable.
We're building from a strong foundation of clinical relationships and institutional support.
Clinical pilots in discussion with 2 prominent health system stakeholders
NSF invited proposal following strong interest in our submitted pitch
AWS provided technical and financial support after reviewing our platform
Johns Hopkins Ward Infinity provided entrepreneurial and financial support
Signed letter of intent from a Johns Hopkins pediatric radiologist
Nationally recognized imaging executive recruited as Chief Imaging Officer
We're partnering with select pediatric health systems for early clinical validation. If you're a hospital, health system, or clinician interested in collaborating, we'd love to hear from you.
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