Vendor source

Reviewed 11 May 2026

Completeness Strong (69%)

BriefCase - Midline Shift (MLS) Quantification

Aidoc

Aidoc's midline shift algorithm is a quantification algorithm that automatically measures the farthest distance between the midline and the septum pellucidum of the brain. If the septum pellucidum is not aligned with the midline, it may indicate a midline shift which is a condition often associated with brain abnormalities.

No papers to support — we monitor for new evidence.

Key features

Midline shift measurement

General Information

Product name

BriefCase - Midline Shift (MLS) Quantification

Company

Modality

CT

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Midline shift

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

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

Not specified

Input

Head CT without contrast

Input format

DICOM

Output

Preview image of the slice with the largest midline shift, measurement of the largest shift of the midline, table and a graph showing the measured midline shift over time

Output format

Annotated images: DICOM Secondary Capture as a new DICOM series_x000D_ Report output: DICOM Structured Report

Integration

Integration in standard reading environment (PACS)

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware

Trigger for analysis

Automatically, right after the image acquisition

Processing time

Not specified

Population

Adults or transitional adolescents aged 18 years and older

Market Presence

On market since

11-2023

AI Platforms

Aidoc, Merative

Resellers

Change Healthcare

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Feb 12, 2025 | Last updated: May 11, 2026