RADiCAIT's Insilico PET® converts routine CT scans into functional, PET-equivalent imaging using deep learning — no radioactive tracers, no extra appointments, no added cost.
The Problem We Solve
Over 100 million people are diagnosed each year with cardiological, neurological, or oncological conditions — yet access to PET imaging remains severely limited by cost, radiotracer logistics, and scanner scarcity. Most patients who need functional imaging never receive it.
RADiCAIT's Insilico PET® eliminates these barriers. By applying deep learning to standard CT scan data, we produce functional metabolic maps equivalent to those from a full PET scanner — directly at the point of CT acquisition.
Works on existing CT infrastructure. No new hardware or site upgrades required.
AI analysis completes in minutes — fitting seamlessly into existing radiology workflows.
Validated against ground-truth PET scans across oncology and neurology cohorts.
Cloud-native API integration connects to PACS, RIS, and EHR systems globally.
Every component of Insilico PET® is engineered for accuracy, safety, and real-world clinical deployment.
Our proprietary deep learning model is trained on tens of thousands of paired CT–PET datasets, enabling pixel-level translation of anatomical CT data into functional metabolic representations indistinguishable from true PET output.
Identify metabolically active tumours and lymph node involvement across multiple cancer types from a single CT scan.
Map cerebral glucose metabolism patterns for early Alzheimer's, Parkinson's, and other neurodegenerative disease indicators.
From CT acquisition to functional report — dramatically shorter than conventional PET scheduling.
Assess myocardial viability and perfusion deficits — critical data for interventional cardiology planning.
Enable functional imaging endpoints in clinical trials without PET infrastructure — reducing trial cost and patient burden.
A DICOM-native, HL7-compatible API that integrates directly into your PACS and RIS environments. Insilico PET® results appear alongside standard CT series in the radiologist's reading workflow — zero workflow disruption, instant clinical value.
Insilico PET® integrates invisibly into existing clinical workflows — no new processes, no patient disruption.
The patient undergoes a routine CT scan at any existing facility. No radioactive tracer preparation, no special protocol, no additional appointments.
Our deep learning model processes the CT DICOM data in minutes, generating a functional metabolic map equivalent to a full PET scan — automatically.
Radiologists and clinicians receive AI-annotated functional imaging reports, ready for disease detection, staging, and treatment planning.
RADiCAIT's platform extends functional imaging capability across the three highest-need clinical areas.
Detect metabolically active disease, assess treatment response, and stage cancers with the precision of PET — using only the CT data you already have.
Learn moreVisualise cerebral metabolic activity for earlier, more confident diagnosis of Alzheimer's disease, Parkinson's, epilepsy, and cognitive decline.
Learn moreEvaluate myocardial viability, perfusion, and metabolic function — guiding life-changing decisions around revascularisation and heart failure management.
Learn moreThe accuracy of the functional maps we're seeing from Insilico PET® is genuinely remarkable. For institutions that can't access a PET scanner, this changes what's diagnostically possible.
We've been looking for ways to include functional imaging endpoints in our trials without the prohibitive cost of PET scheduling. Insilico PET® makes that a genuine reality.
From a neurology perspective, the ability to derive metabolic data from a standard CT changes our early diagnostic pathway completely. The technology is both elegant and practical.
Whether you're a hospital, pharmaceutical company, or research institution — Insilico PET® can unlock functional imaging for your patients and studies today.