AI Lung Nodule & Cancer
Detection Software
OncoSuite brings precision-driven, rapid cancer detection to your PACS: CT and X-ray lung nodule detection, breast imaging analysis and body-health measurements for cancer patients.
Detect Earlier.
Report With Confidence.
AI models for lung and breast imaging that analyse studies in seconds and surface findings directly in the radiologist's viewer.
Performance figures are as stated in Aikenist product documentation.
CT Lung Nodule Detection
Detects lung nodules from 3 mm to 30 mm and characterises calcification, texture and spiculation. Sensitivity and specificity above 90%, processed in under 10 seconds.
X-ray Lung Nodule Detection
Flags suspicious lung nodules on chest X-ray with an AUC of 98% and a processing time under 10 seconds.
Breast Imaging Analysis
Identifies masses, calcifications, fibrocystic mastopathy and nodules and assigns a BI-RADS score. Sensitivity 96%, specificity 97%, accuracy 97%, AUC 97%, in under a minute.
Body Health Insights
Visceral fat measurement helps correlate recovery time and discharge time for cancer patients.
Fits Your Existing PACS
Studies are routed by Aiken Pusher and analysed on the AI Workstation, and the report opens in your viewer.
CT lung nodule detection
How OncoSuite
Fits Your Workflow
OncoSuite plugs into the way you already work: no new steps for the technologist, and findings waiting in the viewer.
Scan at the modality console
The CT, MRI or X-ray study is acquired at the modality console.
Aiken Pusher to PACS
Aiken Pusher sends the study to your PACS automatically over DICOM.
AI Workstation analysis
The study is analysed on the AI Workstation, which detects and measures the findings.
Report in the viewer
Results and the report open in the viewer for the radiologist to review.
Frequently Asked Questions
About OncoSuite
What is OncoSuite?
OncoSuite is the AI cancer-detection module of Aiken QuickDiag. It analyses CT and chest X-ray for lung nodules and breast imaging for suspicious findings, and supports body-health measurements for cancer patients.
What size of lung nodule can OncoSuite detect on CT?
OncoSuite detects lung nodules from 3 mm to 30 mm on CT and characterises calcification, texture and spiculation. The brochure states sensitivity and specificity above 90% with processing in under 10 seconds.
How accurate is OncoSuite on chest X-ray and breast imaging?
For chest X-ray lung nodules the brochure states an AUC of 98% with processing in under 10 seconds. For breast imaging it states sensitivity of 96%, specificity of 97%, accuracy of 97% and an AUC of 97%, in under a minute, with a BI-RADS score.
How does OncoSuite fit into an existing PACS workflow?
Aiken Pusher sends the study from the modality console to your PACS, the AI Workstation analyses it, and the results and report open in the viewer for the radiologist.
OncoSuite Is Part Of Aiken QuickDiag.
Each module works on its own or as part of the full Aiken QuickDiag platform. Explore the rest of the suite.
Explore Aiken QuickDiagStrokeSuite
Rapid, AI-Powered Stroke Detection
XraySuite
AI-Powered Precision For Fast & Accurate Diagnoses
Aiken BMD
AI-Powered Precision For Stronger Bones
Aiken Adipo
Precision Fat Analysis For Smarter Healthcare
Calcium Scoring
AI-Powered Calcium Scoring Tool
See OncoSuite on Your Own Studies
Book a live walkthrough with a clinical specialist, or explore the full Aiken QuickDiag platform.