Vendor source

Reviewed 11 May 2026

Completeness Comprehensive (83%)

Harrison.ai CT Brain

Harrison.ai

Harrison.ai CT Brain is an AI clinical decision-support solution for non-contrast head CT, detecting up to 130 findings. Features include: • customisable, interactive viewer that integrates into PACS/RIS • a confidence bar displaying the likelihood of the finding and uncertainty of the AI model • worklist triage.

* FDA 510(k) clearance as CADt for seven acute findings: acute subdural/epidural hematoma, acute subarachnoid hemorrhage, Intra-axial hemorrhage, intraventricular hemorrhage, obstructive hydrocephalus, vasogenic edema, and mass effect.

** Formerly known as Annalise Enterprise CTB

Supported by 3 papers

Harrison.ai CT Brain thumbnail 1
Harrison.ai CT Brain thumbnail 2

Key Features

  • Confidence bar
  • Detection of up to 130 findings (acute and chronic) on brain CT
  • Normal/abnormal differentiation
  • Notification
  • Visualisation
  • Worklist triage

General Information

Product name

Harrison.ai CT Brain

Modality

CT

Main task

Not specified

Subspeciality

Neuro

Disease targeted

130 findings present in the emergent, urgent, and non-urgent care settings including: Intracranial hemorrhage, hematomas (acute subdural/extradural), fractures, pneumocephalus, infarct, mass effect & midline shift, obstructive hydrocephalus, Intraaxial mass, transependymal edema, colloid cyst, vasogenic edema, and many others.

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

Non-contrast CT

Input format

DICOM

Output

Indication of presence of finding, segmentation overlay, confidence and threshold score/bar

Output format

Customizable AI Viewer. DICOM SC. Worklist – HL7 or API based output for worklist triage (prioritisation)

Integration

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

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

1 - 10 minutes

Population

All non-contrast head CT studies for patients over 18 years of age

Market Presence

On market since

07-2022

AI Platforms

Resellers

Not specified

Countries present

40+

Paying clinical customers

300+

Research/test users

10+

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jun 9, 2024 | Last updated: May 11, 2026