Health AI Register Logo
ProductsPlatformsCompaniesNewsContact
ProductsHarrison CT Chest

Vendor source

Reviewed 11 May 2026

Completeness Strong (64%)

Harrison CT Chest

Harrison.ai

CT Chest by Harrison.ai (formerly known as Annalise.ai) is an AI-powered decision support tool for chest CT scans. It identifies up to 167 radiological features, helping detect life-threatening conditions, oncology finding such as nodules and lesions, and chronic diseases. The system streamlines the reporting workflow. Automated case triage and measurements aim to speed up diagnosis and prioritisation. It supports multiple chest CT study types.

No papers to support — we monitor for new evidence.

Harrison CT Chest
Harrison CT Chest
Harrison CT Chest
Harrison CT Chest thumbnail 1
Harrison CT Chest thumbnail 2
Harrison CT Chest thumbnail 3

Key Features

  • Automated report snippet generation
  • Image annotation
  • Nodule classification
  • Nodule detection
  • Risk score
  • Segmentation overlay
  • Urgent pathology triage
  • Worklist prioritization

General Information

Product name

Harrison CT Chest

Modality

CT

Main task

Detection

Subspeciality

Chest

Disease targeted

Lung cancer. Pulmonary embolism. Chronic lung diseases (e.g., emphysema, interstitial lung disease). Pneumothorax. Aortic syndromes/aneurysm. Osteoporosis. Rib, clavicle, scapula, shoulder, and spinal fractures. Suspected malignancies (masses, nodules, lesions in the chest and upper abdomen). Coronary artery calcification. Pneumoperitoneum

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

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

3D, axial chest CT, contrast, non-contrast, contiguous slices, slice thickness 2.0 mm, complete lung coverage, multi-series support.

Input format

DICOM

Output

Segmentation overlay, image annotations highlighting suspected findings, confidence scores, binary assessment of pathology presence, draft radiology report snippets, worklist prioritization order, risk score

Output format

Free text, HL7, JSON, Visual

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone third party application

Deployment

Hybrid solution

Trigger for analysis

Automatically, right after the image acquisition

Processing time

1 - 10 minutes

Population

The CT Chest solution is intended for analysis of chest CT scans in adult patients aged 18 years or older

Market Presence

On market since

11-2025

AI Platforms

Resellers

Not specified

Countries present

15

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Vendor | First published: Dec 13, 2025 | Last updated: May 11, 2026