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AmCAD-UT®
AmCAD-UT®
AmCAD-UT®
AmCAD-UT®
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Key Features

  • Automated nodule recognition
  • Quantification and visualization of sonographic features
  • Risk analysis based on global guidelines

General Information

Product name

AmCAD-UT®

Subspeciality

Head/Neck

Modality

Ultrasound

Disease targeted

Thyroid cancer, Thyroid nodule

Main task

Not specified

Technical Specifications

Population

Thyroid ultrasound scanning for thyroid nodule

Patient population age

Not specified

Input

2D grayscale ultrasound images

Input format

BMP, DICOM, JPEG or TIFF

Output

Visualized and quantified sonographic features, recommendation based on TI-RADS and global guidelines including AACE/ACE/AME, ACR , ATA, EU-TIRADS, BTA, Kwak et al., KSThR and KSR, ) and Seo et al.

Output format

DICOM, PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

< 3 sec

Regulatory Information

CE Certification

Pathway:

MDD

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

Market Presence

On market since

2017

AI Platforms

Not specified

Resellers

Not specified

Countries present

13

Paying clinical customers

4 countries

Research/test users

12 countries

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses, Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography

Peer-Reviewed

View

Diagnostic Performance Evaluation of a Computer-Assisted Imaging Analysis System for Ultrasound Risk Stratification of Thyroid Nodules

Peer-Reviewed

View

Multi-Reader Multi-Case Study for Performance Evaluation of High-Risk Thyroid Ultrasound with Computer-Aided Detection

Source: vendor | First published: Jul 10, 2025 | Last updated: Jul 10, 2025