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AmCAD-UT

AmCAD-UT
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AmCAD-UT

Product catalog summary
Overview: AmCAD-UT® is the world's first ultrasound computer-aided detection (CAD) system specifically designed for thyroid cancer detection. It offers automated nodule recognition and utilizes patented technologies to quantify and visualize sonographic features, compatible with all ultrasound systems.
Key Features:
  • Automated Nodule Recognition: The system automatically identifies nodules in ultrasound images, enhancing diagnostic accuracy.
  • Quantification and Visualization: It quantifies features such as echogenicity, echogenic foci, texture, and margin, which are critical in assessing malignancy risk.
  • Image Calibration: Compatible with all ultrasound systems, ensuring consistent results across different platforms.
  • Automated Report Generation: Facilitates efficient clinical workflow by generating reports automatically.
Performance Metrics:
  • Echogenicity (Hypoechogenicity): 84.7% AUROC, p-value < 0.0001
  • Echogenic Foci (Calcification): 91.5% AUROC, p-value < 0.0001
  • Texture (Heterogeneity): 77.0% AUROC, p-value 0.0045
  • Margin (Ill-Defined Margin): 68.6% AUROC, p-value 0.0014
Current Issues in Thyroid Cancer Examination:
  • 70% inconsistent results among ultrasound readers
  • 15% inadequate sampling
  • 30% indeterminate results from biopsy
  • 50% of removed thyroid tissues diagnosed as benign, leading to unnecessary surgeries and lifelong medication
Risk of Malignancy Assessment: The system aligns with various international guidelines, providing risk assessments such as high suspicion and highly suspicious categories based on different criteria (e.g., AACE/ACE/AME, ACR, ATA, BTA, European TiRADS).
Clinical Workflow: The system integrates with clinical workflows by segmenting and analyzing thyroid ultrasound images, sending DICOM images to PACS, and recommending follow-up or fine needle aspiration (FNA) based on the analysis.
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Catalog excerpts

AmCAD-UT-1

Demo Video World’s First Ultrasound CAD for Thyroid Cancer Detection Automated Nodule Recognition Patented Technologies to Quantify and Visualize Sonographic Features Image Calibration Compatible with All Ultrasound Systems Effective Management for Continuous Follow-Up Automated Report Generation

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AmCAD-UT-2

Current Issues on Thyroid Cancer Examination 70% inconsistent results among ultrasound readers 15% inadequate sampling 30% indeterminate results from biopsy 50% removed thyroid tissues diagnosed as benign Life-long medication after surgery Original Image Automated Nodule Recognition Thyroid Guidelines Automated Report -UT® AI Solution Features Visualization and Quantification Standalone Performance Methodology AACE/ACE/AME, 2016 ACR, 2017 ATA, 2015 BTA, 2014 Kwak et al., 2011 (Korea) KSThR KSR, 2016 European TiRADS, 2017 Seo et al., 2015 (Korea) TR5: Highly Suspicious (7 points) High suspicion...

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AmCAD-UT-3

Fine Needle Aspiration Automated Report Generation Thyroid Ultrasound Images Segmentation and Analysis Send DICOM Images to PACS Clinical Workflow Follow-up with AmCAD - UT www.AmCadBioMed.com [email protected]

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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.