Vendor source

Reviewed 11 May 2026

Completeness Strong (69%)

DUOnco Pancreas

Intrasense by Guerbet

DUOnco™ Pancreas, an AI-powered assistant, detects and segments small pancreatic lesions (<2cm) and main pancreatic duct on CT scans.

The AI solution is being designed to assist radiologists in identifying subtle pancreatic lesions at an earlier stage, aiming to improve outcomes.

No papers to support — we monitor for new evidence.

Key features

Automatic detection of lesions of main pancreatic duct

Automatic organ segmentation

Automatic segmentation of lesions of main pancreatic duct

Detection of cysts (IPMNs and others)

General Information

Product name

DUOnco Pancreas

Modality

CT

Main task

Detection

Subspeciality

Abdomen

Disease targeted

Pancreatic cancer

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Adult

Input

Axial CT scan covering thorax, abdomen, and/or pelvis

Input format

DICOM

Output

Informs user whether algorithm has processed successfully or failed, including reason of failure

Output format

DICOM GSPS (Grayscale Softcopy Presentation State), DICOM SC, DICOM SEG, DICOM SR

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Cloud-based, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

1 - 10 minutes

Population

Adults

Market Presence

On market since

08-2025

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations

Source: Vendor | First published: Oct 22, 2025 | Last updated: May 11, 2026