uAI MI Oncology: PET/CT Computer-Aided Diagnostic Software

United Imaging Intelligence
Detection of whole-body abnormal uptakes.
Information source: Vendor
Last updated: April 30, 2025

General Information

General
Product name uAI MI Oncology: PET/CT Computer-Aided Diagnostic Software
Company United Imaging Intelligence
Subspeciality Cancer
Modality PET
Disease targeted Cancer
Key-features PET/CT registration and fusion, lesion detection, lesion quantification, lesion localization, automatic calculation of reference tissue uptakes, AI-assisted screenshot, follow-up comparison
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps),
During: interactive decision support (shows abnormalities/results only on demand),
During: report suggestion

Technical Specifications

Data characteristics
Population Adult patients. The contraindications of this product are the same as those of PET/CT examination (e.g. contrast allergy, renal insufficiency, inability to stay still (≥20 min), poorly controlled diabetes, pregnancy, or infancy)
Input PET/CT
Input format DICOM
Output Registered CT and PET, fusion images, contour of the lesion, quantitative analysis of lesions, anatomical localization of lesions, draft radiology report
Output format
Technology
Integration Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA No or not yet
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Pay-per-use, subscription, one-time license fee
Based on Number of users, number of installations, number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers