Public source

Reviewed 19 Aug 2026

Completeness Good (47%)

Contour ProtégéAI+ is an accessory to MIM software that automatically creates contours on medical images through the use of machine-learning algorithms. It is designed for use in the processing of medical images and operates on Windows, Mac, and Linux computer systems. Contour ProtégéAI+ is deployed on a remote server using the MIMcloud service for data management and transfer; or locally on the workstation or server running MIM software.

No papers to support — we monitor for new evidence.

Key features

Autosegmentation

General Information

Product name

MIM Contour ProtégéAI+

Workflow phase

Contouring

Modality

CT, MR

Treatment site

Abdomen, Brain/CNS, Female pelvis, Head & neck, Male pelvis, Thorax

Exact structures

Not specified

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class unknown

Not verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

FDA Number:

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

Prerequisites

Not specified

Defined prerequisite(s)

Not specified

Treatment technique

Not applicable

Delivery system

Not applicable

Workflow features

Not specified

Patient population age

Adult

Input

Not specified

Input format

DICOM

Output

Not specified

Output format

DICOM RTSTRUCT

Integration

Integrated in TPS, Server based

Integration method

Not specified

API documentation availability

Not specified

API documentation, if publicly available

Not specified

TPS compatibility

Monaco, Vendor-neutral

Deployment

Cloud-based, On-premise

Trigger for AI functionality

Automatically, after data acquisition

Processing time

Not specified

Retraining locally

Not applicable

Claims

Not specified

Known limitations

Contour ProtégéAI+ can produce incorrect or implausible segmentations when the underlying anatomy is in the field of view of the scan but not clearly discernable due to image quality, noise, or the generally low contrast of some structures. This can occur in any situation where the organ at risk is not clearly discernable in the image. While both images with and without IV contrast are represented in the training set for Contour ProtégéAI+, the effect of iodinated contrast can vary due to patient weight, contrast dosage, and time since injection. In cases where this is unusually intense brain or kidney enhancement, the posterior boundary can be incorrectly segmented. The age breakdown of the training data, where patient age was available, was predominantly in the 40-60 and 60+ ranges. While this is appropriate to the intended patient populations, only a small proportion of testing and training data was for patients under 40, so more intensive review may be warranted for younger patients.

Market Presence

On market since

Not specified

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Public | First published: Apr 3, 2026 | Last updated: Aug 19, 2026