MEDO-Thyroid
Overview
MEDO-Thyroid is an artificial intelligence (AI) software designed to drastically simplify the workflow for thyroid ultrasound scanning. It operates as a cloud-based standalone Software as a Medical Device (SaMD) intended for use with adult patients (18 years or older). The tool takes video sweeps of the thyroid gland as input and leverages AI to automatically review the data, select optimal images for analysis, and calculate standard lobe and isthmus measurements. It further assists in locating, measuring, and characterizing any thyroid nodules present, utilizing the well-known Thyroid Imaging Reporting and Data System (TI-RADS). The software culminates in the creation of individualized, interactive reports, aiming to make thyroid ultrasound examinations faster, more objective, and less prone to error.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered automatic image selection from video sweeps
- Automatic calculation of standard thyroid lobe and isthmus measurements
- Assistance in locating, measuring, and characterizing thyroid nodules
- Utilizes TI-RADS system for nodule characterization and risk scoring
- Generates individualized, interactive examination reports
- Cross-referencing ability for viewing nodules across multiple planes (transverse and sagittal)
- Cloud-based standalone Software as a Medical Device (SaMD)
- Simplifies ultrasound workflow for faster and more objective analysis
- Aids in analysis of thyroid lobes and identification of thyroid nodules
- Compatible with Digital Imaging and Communications in Medicine (DICOM) images from ultrasound scanners
Use Cases
- Simplifying and accelerating thyroid ultrasound scanning workflow
- Assisting radiologists in evaluating and quantifying thyroid ultrasound images
- Generating comprehensive and consistent reports for thyroid ultrasound examinations
- Efficiently following up on multiple thyroid nodules
- Reducing scan-to-report time for diagnostic imaging
- Improving consistency and reducing errors in thyroid imaging and diagnosis
What Physicians Need to Know
MEDO-Thyroid can significantly streamline thyroid ultrasound interpretation and reporting, especially for cases with multiple nodules, by automating measurements and TI-RADS characterization. While it simplifies the workflow and can reduce scan times, clinicians should remain aware of the need for manual input for region of interest (ROI) localization and consider the current scope of its external validation. Its ability to cross-reference nodules across multiple planes offers a valuable perspective akin to other advanced imaging modalities.
The integration with Kailo Medical's SonoReview is a key pathway for seamless adoption into existing radiology IT infrastructure, including PACS, RIS, and EMR systems. This allows for efficient data flow and structured reporting within familiar clinical environments. Future integrations may be expected through its acquisition by Exo, potentially expanding its compatibility with a broader range of ultrasound platforms.
Details
| Category | Endocrinology & Metabolic AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated MEDO-Thyroid received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on April 23, 2021 (K203502). It is classified as a Class II medical device under Regulation Number 21 CFR 892.2050 (Picture Archiving And Communications System) with Product Code QIH. |
| Integrations | |
| EHR | Not specified |
| Specialties | Endocrinology, Otolaryngology (ENT), Radiology |
What the Web Says
MEDO-Thyroid is an AI-powered software solution designed to streamline and enhance the accuracy of thyroid ultrasound examinations. It automates image selection, calculates measurements, and assists in characterizing nodules using the TI-RADS system, ultimately generating individualized interactive reports. The software has received FDA 510(k) clearance and aims to make thyroid ultrasounds faster, easier, and more objective for both patients and clinicians.
Overall: PositiveStrengths
- Simplifies and speeds up the thyroid ultrasound workflow.
- Automates optimal image selection and measurement calculations.
- Assists in locating, measuring, and characterizing thyroid nodules using TI-RADS.
- Generates individualized, interactive reports.
- Aims to reduce subjectivity and potential for error in thyroid ultrasound interpretation.
- Can improve the performance of junior physicians when assisted by AI.
Limitations
- Not yet in widespread clinical use.
- Limited information available from independent tech reviewers, G2, Capterra, or Reddit specifically for MEDO-Thyroid.
- Some AI tools for thyroid nodules have shown limitations in specificity compared to senior physicians, and potential shortfalls in performance with malignant nodules in subgroup analysis.
- External validity of AI models can be uncertain if solely trained and evaluated on single retrospective datasets.
Based on reviews from: Medimaging.net, HealthAidb, PMC, AuntMinnie, University of Alberta - Folio, AJR Special Series on AI Applications, BioSpace
Last updated: 2026-07-18
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