Harrison.ai CTB is a comprehensive AI solution for non‑contrast head CT studies that identifies up to 130 radiological findings in under 90 seconds. It enhances diagnostic confidence, prioritizes urgent cases, and integrates seamlessly into existing PACS/RIS workflows. By consolidating numerous point solutions into one unified platform, it streamlines clinical decision‑making and supports high‑pressure emergency and inpatient environments.
Vendor
Harrison.ai
Company Website
CTB
Harrison.ai CTB is a comprehensive AI solution for non‑contrast head CT studies that identifies up to 130 radiological findings in under 90 seconds. It enhances diagnostic confidence, prioritizes urgent cases, and integrates seamlessly into existing PACS/RIS workflows. By consolidating numerous point solutions into one unified platform, it streamlines clinical decision‑making and supports high‑pressure emergency and inpatient environments.
Features
- Detection of up to 130 acute, urgent, and chronic head CT findings
- Seamless integration with PACS and RIS, including overlay‑based localisation
- Customisable thresholds to optimise sensitivity and specificity
- Multi‑plane visualisation (axial, sagittal, coronal) with preset brain, bone, soft tissue and stroke views
- Explainable AI through coloured overlays and confidence indicators
- Automated analysis typically completed within 90 seconds
Capabilities
- Supports triage and prioritisation of urgent cases directly within clinical workflows
- Differentiates between similar findings to improve diagnostic accuracy
- Consolidates multiple narrow AI tools into a single comprehensive brain CT solution
- Enhances identification, staging, and monitoring of critical neurological conditions
- Scales easily across diverse sites and high‑volume radiology environments
- Provides consistent, reproducible AI‑assisted support across emergency, inpatient, and routine imaging workflows
Benefits
- Reduces risk of missed critical findings in high‑pressure clinical settings
- Accelerates radiologist decision‑making and decreases reporting times
- Improves patient outcomes through faster identification of time‑sensitive conditions
- Simplifies operational workflows by removing the need for multiple AI tools
- Enhances clinical confidence with transparent, interpretable AI outputs
- Supports both public and private healthcare providers in delivering more efficient, high‑quality care