Transform Radiology
Transform Radiology

Solving healthcare’s imaging bottleneck with AI that delivers PET-level image from every CT scan.

Solving healthcare’s imaging bottleneck with AI that delivers PET-level image from every CT scan.

The Grand Challenge

Every year, over 100 million people are diagnosed with cardiological, neurological, or oncological disease. CT is fast, ubiquitous, and affordable—but shows only anatomy. PET reveals disease activity, yet is scarce, slow, invasive, and costly. Healthcare needs PET-level insight at CT scale.

Our Solution

Insilico PET® by RADiCAIT uses AI to transform routine CT scans into PET-like functional maps—no radioactive tracers, no new hardware, no extra appointment. It upgrades the scans clinicians already order to deliver actionable physiology for detection, staging, and treatment planning—fast, safe, and scalable.

Team

Team

Team

Dr Seán Walsh, CEO: Serial entrepreneur and leader in radiology AI, MSc, PhD, MBA

Dr Regent Lee, CMIO: Oxford University Professor and UKRI future leader fellow MBBS, MS, DPhil

Dr Sina Shahendeh, CTO: 3x founder, PhD in computational physics, lead ML/AI in scale ups with $770M exit.

JP Sampson, COO: Experienced startup operator, leading at the intersection of product & project

We have forged strong working relationships with leading global institutions across healthcare, academic innovation, technology and regulatory sectors, ensuring our solutions are optimized for clinical efficiency and effectiveness. 

We have forged strong working relationships with leading global institutions across healthcare, academic innovation, technology and regulatory sectors, ensuring our solutions are optimized for clinical efficiency and effectiveness. 

Collaborator Network


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