AmCAD-UT
Overview
AmCAD-UT is an innovative AI-powered software solution developed by AmCad BioMed Corporation, designed to revolutionize thyroid ultrasound examinations. It assists medical professionals in the detection, analysis, and characterization of thyroid nodules, aiming to enhance diagnostic accuracy and streamline clinical workflows. The system utilizes patented image analysis technology to capture and quantify clinical diagnostic features from 2D ultrasound images, providing detailed color-coded visualizations of nodule characteristics such as echogenicity, shape, margins, and calcifications.
AmCAD-UT integrates seamlessly into existing workflows by offering automatic nodule detection and contouring, instant TI-RADS analysis (supporting 8 major guidelines), and automated report generation. This reduces manual tracing and provides fast, consistent, and objective risk stratification. Studies have shown that AmCAD-UT can significantly improve diagnostic performance, with reported increases in overall AUC, specificity, and sensitivity, particularly in challenging cases. It supports both real-time AI detection with handheld ultrasound devices and DICOM analysis on PCs, offering cross-platform flexibility on Android and Windows.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered real-time guidance for identifying thyroid structure and alerting suspicious findings
- Automatic Nodule Detection & Contouring
- Instant TI-RADS Analysis (supports 8 major TI-RADS guidelines)
- Automated Report Generation
- Color-Coded Nodule Features (visualizes echogenicity, shape, margins, calcifications)
- Quantified Nodule Sonographic Characteristics
- Cross-platform flexibility (Android and Windows platforms)
- DICOM analysis on PC and PACS compatible
- Enhances diagnostic accuracy (e.g., +8.8% overall AUC, +55% specificity, +30% sensitivity)
- Supports B-mode ultrasound image analysis
Use Cases
- Assessing thyroid nodules with ultrasound
- Early detection and diagnosis of thyroid cancer
- Reducing indeterminate thyroid nodule cases
- Streamlining thyroid ultrasound workflow
- Assisting sonographers in diagnosing Thyroid Imaging Reporting and Data System (TI-RADS) grade 3 and 4 lesions
- Post-acquisition analysis of thyroid ultrasound images
What Physicians Need to Know
Consider AmCAD-UT for its potential to standardize thyroid nodule assessment and reduce inter-observer variability, especially in busy practices or for less experienced sonographers. Its real-time AI capabilities with handheld ultrasound can be particularly beneficial for point-of-care diagnostics and rural outreach. Leverage its multi-TI-RADS support to align with preferred guidelines and ensure comprehensive reporting. The automated features can streamline workflow, allowing more focus on patient interaction and complex cases. Always integrate AI findings with your clinical expertise and patient history for a holistic diagnosis.
AmCAD-UT offers robust integration capabilities, being PACS compatible and able to process various image formats (DICOM, JPEG, BMP, TIFF) from diverse ultrasound machines. It can function as a standalone application, integrate into existing reading environments, or be accessed via AI marketplaces. The flexibility of cloud-based or local deployment, along with compatibility with handheld ultrasound systems, makes it adaptable to different clinical setups. Future web browser-based cloud analysis features are also being developed.
Details
| Category | Endocrinology & Metabolic AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based (features being tested for web browsers/cloud analysis), Locally on dedicated hardware (Windows-based software) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated AmCAD-UT received FDA 510(k) clearance (K203555) on September 8, 2021. It is a Windows-based computer-aided detection (CADe) device intended to assist medical professionals in analyzing thyroid ultrasound images acquired from FDA-cleared ultrasound systems. |
| Integrations | |
| EHR | Not specified |
| Specialties | Endocrinology, Otolaryngology (ENT), Radiology |
What the Web Says
AmCAD-UT is a computer-aided diagnosis (CAD) software designed to assist physicians in analyzing thyroid ultrasound images for nodule detection, characterization, and risk stratification. It utilizes patented image analysis technology to identify and quantify sonographic features, providing both visual and quantitative data to aid in diagnosis. The system aims to improve diagnostic accuracy, especially for less experienced clinicians, and streamline the reporting process through automated report generation.
Overall: MixedStrengths
- Strong measurement accuracy for nodule size.
- Comparable diagnostic performance to experienced clinicians, potentially improving that of less experienced ones.
- Provides objective second opinion.
- Automates nodule detection, contouring, and TI-RADS analysis, saving time and improving efficiency.
- Supports multiple TI-RADS guidelines.
- Converts detection results into comprehensive clinical reports with diagnostic information and feature visualization.
Limitations
- Limited risk-stratification agreement, with a tendency to downgrade lesions.
- Lower specificity compared to experienced radiologists in some studies.
- Performance increase for senior physicians may not be statistically significant.
- Relies on static images rather than real-time imaging.
- Lack of an obvious value proposition for practices already performing well without such tools.
- Some studies have limitations such as single-center design and small sample sizes.
Based on reviews from: Health AI Register, PMC, AJR Special Series on AI Applications, PLOS, Healthcare+ Expo, Taiwan, Frontiers, ResearchGate
Last updated: 2026-07-17
