Products

See-Mode Augmented Reporting Tool
See-Mode Technologies Pte. Ltd.
Endocrinology & Metabolic AI
AI-powered software for thyroid ultrasound analysis and reporting, detecting and classifying nodules according to ACR TI-RADS, and streamlining clinical workflows for improved diagnostic accuracy and efficiency.
AVA (Augmented Vascular Analysis)
See-Mode Technologies Pte.
Neurology AI
AVA (Augmented Vascular Analysis) is an AI software by See-Mode Technologies that automates the analysis and reporting of vascular ultrasound scans, enhancing diagnostic accuracy and efficiency for stroke prediction.

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About See-Mode Technologies Pte.

See-Mode Technologies Pte. is a pioneering healthcare AI company specializing in advanced solutions for medical image analysis, particularly in ultrasound. Their technology leverages artificial intelligence and computational modeling to enhance diagnostic accuracy, improve workflow efficiency, and standardize reporting for clinicians. Initially, See-Mode developed Augmented Vascular Analysis (AVA) software for automated analysis and reporting of vascular ultrasound scans, aiding in stroke prediction and prevention by providing critical insights into stroke risk factors from routinely collected medical images such as ultrasound, CT, or MRI scans.

More recently, See-Mode has expanded its focus to include AI-enhanced reporting for thyroid and breast ultrasound imaging. Their solutions automatically detect, size, and characterize lesions according to established guidelines like ACR TI-RADS and BI-RADS, generating comprehensive sonographer worksheets and preliminary radiologist impressions. This not only streamlines clinical workflows and reduces reporting time but also aims to minimize inter-operator variability and enhance diagnostic confidence. The company’s products have received regulatory approvals in key markets including the United States, Canada, Australia, New Zealand, and Singapore. See-Mode Technologies was acquired by RadNet, Inc. (through its subsidiary DeepHealth) in June 2025, integrating its innovative AI-powered ultrasound solutions into a broader portfolio aimed at transforming diagnostic imaging.

Focus Areas

AI for ultrasound imaging stroke prediction vascular diseases thyroid nodule detection breast lesion detection radiology workflow efficiency diagnostic accuracy automated reporting

Business Intelligence

Key InvestorsBlackbird Ventures, MassMutual Ventures, SGInnovate, Cocoon Capital, Entrepreneur First, Arvo Venture Capital (former investor)
PartnershipsRadNet, DeepHealth
AcquisitionsAcquired by RadNet (through DeepHealth) in June 2025
TechnologyAI-based platform, Computer Vision, Computational Fluid Dynamics, Deep Learning, Machine Learning
FDA Clearances2 cleared products (estimated)

What Physicians Need to Know

AI for Ultrasound Imaging
See-Mode Technologies specializes in leveraging AI to automatically read and assess ultrasound images, generating accurate clinical reports. Their applications analyze thyroid, breast, and vascular ultrasound images to enhance diagnostic accuracy and efficiency.
Stroke Prediction & Vascular Diseases
Their FDA-cleared Augmented Vascular Analysis (AVA) software uses AI and computational models to analyze vascular ultrasound scans, improving stroke risk prediction and identifying critical risk factors like vulnerable plaque and high-risk blood flow, which may not be accessible through traditional methods.
Thyroid Nodule Detection
See-Mode offers an AI-powered Thyroid Suite that automates the detection, sizing, and characterization of thyroid nodules according to ACR TI-RADS guidelines. This solution streamlines sonographer tasks, simplifies radiologist interpretation, and has demonstrated up to a 30% reduction in scan time.
Breast Lesion Detection
Their Breast Suite automatically detects and characterizes breast lesions in ultrasound images, automating BI-RADS reporting. Studies indicate that See-Mode's AI models outperform average expert reader performance in characterizing BI-RADS features, assisting clinicians in detecting malignancy.
Radiology Workflow Efficiency
The company's AI solutions enhance clinical workflows by automating repetitive tasks, such as image analysis, measurement extraction, and report generation. This significantly reduces reporting time for sonographers and radiologists, generating instant worksheets and pre-populating reports.
Diagnostic Accuracy
See-Mode leverages advanced pattern recognition and machine learning to improve diagnostic accuracy and reduce misdiagnosis. Multi-reader multi-case studies have shown that their AI enhances radiologist performance in nodule localization, characterization, and ACR TI-RADS level agreement.
Automated Reporting
A core specialization is automated reporting, which includes generating standardized reports for vascular, thyroid (TI-RADS), and breast (BI-RADS) ultrasound studies. This reduces inter-operator variability and reporting errors, ensuring consistency across examinations.
Key Differentiators
See-Mode stands out due to its high level of automation, including automatic detection and characterization without manual user input for thyroid nodules, and its comprehensive AI solutions across multiple ultrasound modalities. Their technology has demonstrated improved radiologist performance and significant workflow streamlining, including up to a 30% reduction in scan time.
Technology Stack
Their solutions are built upon a robust technology stack incorporating Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Computational Models (including fluid dynamics), Computer Vision, Text Recognition, and Signal Processing technologies. Their software is often cloud-based and web-based, accepting DICOM-compliant images.
Physician Tip

For physicians, See-Mode Technologies offers a pathway to significantly reduce reporting times and enhance diagnostic confidence and accuracy in ultrasound imaging. The automated workflows minimize tedious manual steps, allowing more focus on patient care. The AI-driven insights provide critical risk factors that might otherwise be missed, improving early detection and treatment planning. Furthermore, the standardization of reports helps ensure consistency across different operators and radiologists, leading to more reliable results. The proven efficiency gains, such as a 30% reduction in scan time for thyroid ultrasounds, can increase patient access and optimize clinic capacity.

See-Mode's solutions are designed for seamless integration with existing clinical workflows. They can send generated worksheets to PACS (Picture Archiving and Communication Systems) or RIS (Radiology Information Systems) and pre-populate radiologist report templates. The company also offers an API for integration with existing worksheet solutions and is available via platform partners such as Blackford, CARPL, Ferrum Health, and Synthesis Health. As part of DeepHealth (a RadNet subsidiary), their solutions are integrated into a broader population health portfolio.

Products by See-Mode Technologies Pte.

2 products in the directory

See-Mode Augmented Reporting Tool
See-Mode Technologies Pte. Ltd.
Endocrinology & Metabolic AI
AI-powered software for thyroid ultrasound analysis and reporting, detecting and classifying nodules according to ACR TI-RADS, and streamlining clinical workflows for improved diagnostic accuracy and efficiency.
AVA (Augmented Vascular Analysis)
See-Mode Technologies Pte.
Neurology AI
AVA (Augmented Vascular Analysis) is an AI software by See-Mode Technologies that automates the analysis and reporting of vascular ultrasound scans, enhancing diagnostic accuracy and efficiency for stroke prediction.

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Press & Coverage

DeepHealth (RadNet)
RadNet, Inc. Acquires See-Mode Technologies for Innovation in AI-Powered Ultrasound Diagnostics
RadNet, Inc. acquired See-Mode Technologies in June 2025, integrating See-Mode's AI-powered ultrasound solutions for thyroid and breast imaging into DeepHealth's population health offerings. This acquisition aims to enhance diagnostic accuracy, improve clinical workflows, and reduce scan times by up to 30%.
2025-06
See-Mode Technologies
See-Mode Technologies Receives FDA Clearance for Thyroid Ultrasound AI Analysis and Reporting Software
See-Mode Technologies announced in September 2024 that it received 510(k) clearance from the U.S. FDA for its thyroid ultrasound analysis and reporting software. This AI solution detects and classifies thyroid nodules, aiming to reduce reporting time and variability in care.
2024-09
Unknown (referencing See-Mode)
Medtech startup See-Mode Technologies bags USD 7 million from SGInnovate, others
In August 2020, See-Mode Technologies secured $7 million in Series A funding, led by MassMutual Ventures Southeast Asia, to advance its AI-powered early stroke detection software and expand into Europe and the US. The company's Augmented Vascular Analysis (AVA) software, already approved in Singapore, aims to improve analysis of vascular ultrasound scans.
2020-08
See-Mode Technologies
See-Mode Technologies Receives Health Canada Approval
See-Mode Technologies has received Health Canada approval for its AI-powered ultrasound analysis software. This expands their regulatory clearances, which also include FDA, ARTG, HSA, and MED SAFE.
unknown
accessdata.fda.gov
See-Mode Technologies Pte. Ltd. September 16, 2020 Mr. Alan Donald President Matrix Medical Consulting, Inc. 8880 Rio San D
On September 16, 2020, the FDA reviewed See-Mode Technologies Pte. Ltd.'s 510(k) premarket notification for its AVA (Augmented Vascular Analysis) software. The device, intended for analysis and reporting of vascular ultrasound images, was determined to be substantially equivalent to legally marketed predicate devices.
2020-09
Antares Ventures
Antares Ventures Marks First Exit as See-Mode Is Acquired by RadNet
Antares Ventures announced its first exit with the acquisition of See-Mode Technologies by DeepHealth, a subsidiary of RadNet, Inc., in June 2025. Antares Ventures supported See-Mode from inception, validating its deep-tech investment thesis in transformative healthcare technologies.
2025-06
Diagnostic Imaging Europe
RadNet Acquires See-Mode Technologies to Advance AI in Ultrasound Imaging
RadNet's acquisition of See-Mode Technologies in June 2025, through its DeepHealth subsidiary, significantly expands its AI-powered diagnostic imaging capabilities, particularly for ultrasound. See-Mode's AI applications for thyroid and breast lesions enhance diagnostic accuracy and workflow efficiency, with initial deployments showing up to a 30% reduction in scan time.
2025-06
Imaging Technology News
RadNet Acquires See-Mode Technologies for AI-Powered Ultrasound Diagnostics
RadNet, Inc. completed the acquisition of See-Mode Technologies in June 2025, integrating See-Mode's AI solutions for thyroid and breast ultrasound into DeepHealth. This move aims to improve diagnostic accuracy, streamline workflows, and address the growing demand for imaging services.
2025-06

Frequently Asked Questions

See-Mode Technologies, now part of DeepHealth (a RadNet company), offers AI-powered solutions primarily for vascular, thyroid, and breast ultrasound imaging. Their initial product, Augmented Vascular Analysis (AVA), assists in predicting stroke and managing vascular diseases by analyzing ultrasound, CT, or MRI scans. Additionally, they provide Thyroid Suite and Breast Suite, which leverage AI for the detection, characterization, and reporting of thyroid nodules and breast lesions to improve diagnostic accuracy and efficiency.
See-Mode's AI solutions enhance workflow efficiency by automating tasks such as nodule/lesion detection, sizing, characterization, and generating standardized reports and sonographer worksheets, significantly reducing manual effort and reporting time. For diagnostic accuracy, studies have shown that See-Mode's AI improves radiologists' performance in assessing thyroid nodule malignancy and characterizing lesions, leading to more consistent and reliable diagnoses. Early deployments have demonstrated up to a 30% reduction in scan time for thyroid ultrasounds.
See-Mode Technologies' products have received significant regulatory clearances. Their Augmented Vascular Analysis (AVA) software obtained FDA 510(k) clearance in October 2020, along with CE Mark and Australian TGA approval. The thyroid ultrasound analysis and reporting software also received FDA 510(k) clearance in 2023/2024, being the first FDA-cleared product for both detection and diagnosis (CADe/x) of thyroid ultrasound. Furthermore, their breast and thyroid solutions have regulatory approvals in Canada, Australia, New Zealand, and Singapore.
See-Mode's software automatically detects and characterizes nodules or lesions according to established guidelines like ACR TI-RADS for thyroid and BI-RADS for breast, generating comprehensive sonographer worksheets and preliminary radiologist impressions. While the AI streamlines the initial analysis and report generation, the software is intended to assist, not replace, the clinician. The final report and diagnosis require review and approval by a qualified physician, who can amend the AI outputs as necessary.
See-Mode Technologies was acquired by RadNet, Inc. in June 2025, and its solutions are now integrated into RadNet's DeepHealth portfolio. This acquisition by a national leader in diagnostic imaging services significantly enhances See-Mode's long-term stability and ensures continued development and support for its AI solutions. Being part of a larger, established entity provides robust resources and a broader platform for market reach and customer support.
Yes, See-Mode's AI solutions are designed for seamless integration into existing radiology workflows. The software takes DICOM-compliant vascular ultrasound images as input and generates reports that can be sent to PACS or RIS upon finalization. This integration capability ensures that the AI-powered analysis and reporting tools can be adopted without requiring a complete overhaul of current imaging infrastructure.
See-Mode Technologies offers various support options for its AI solutions, including chat support, in-person training, and live online training to ensure effective implementation and usage. While specific pricing models are not publicly detailed in the provided information, the company's solutions are targeted at hospitals and diagnostic centers, suggesting a B2B sales approach. Interested parties are typically encouraged to contact the vendor directly for pricing and compatibility details.

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