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Harrison.ai Chest X-Ray (Annalise CXR)

by Harrison.ai

AI Tool
Low Confidence

Annalise CXR is an AI-powered medical imaging solution developed by Harrison.ai, designed to assist radiologists in interpreting chest X-rays. The tool uses deep learning algorithms to detect and highlight abnormalities in chest X-ray images, including conditions such as pneumothorax, pleural effusion, lung opacities, and other thoracic pathologies. It is intended to improve diagnostic accuracy, reduce interpretation time, and support clinical decision-making in radiology workflows. The system is CE-marked and TGA-approved for clinical use in Australia and Europe.

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Transparency Score

Weighted across four pillars · updated July 7, 2026

Overall grade
55% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Medical Image Analysis
Diagnostic Support
Anomaly Detection
Report Generation

Vendor Information

Complete information about the vendor/provider of this AI application

Harrison.aiView all products →
Harrison.ai
Contact Information
www.harrison.ai
privacy@harrison.ai
+61 402 511 469
Registered Address
Level P, 24 Campbell St, Sydney, New South Wales, Australia

EU AI Act Provider Information

Verification Status:
Verified
Harrison.ai
Level P, 24 Campbell St, Sydney, New South Wales, Australia
privacy@harrison.ai+61 402 511 469
Harrison-AI Medical B.V. Schiphol Boulevard 359 1118 BJ Amsterdam Schiphol
Netherlands
Compliance Documents
CE Marking: Not Applicable

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

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Compliance & Risk

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Added: July 7, 2026
Updated: July 7, 2026

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