Solve clinical problems with artificial intelligence.

Clarius AI is a platform where you can define your research studies, acquire and label data, export to Deep Learning tools such as TensorFlow, and then validate your models in real time.

Flexible

Use retrospective or prospective ultrasound data. Your labeled data exports to TFRecord, so you can use it with your framework of choice.

Easy to use

Designed with intuitive labeling tools. Easily use your Clarius exam data for studies.

Collaborative

Work with your team to label data and test your models with our built-in collaborative tools.

Secure and private

Your data and models will remain yours. Access to your data will not be shared with any other parties, including us.

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1. Define a study

Define an AI study in Clarius Cloud, where you'll import images.

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2. Access Data

Acquire images from patients or volunteers, and upload them to Clarius Cloud.

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3. Label Data

We provide a simple and intuitive environment on Clarius Cloud with a variety of tools for fast labelling.

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4. Train AI

Full compatibility with TensorFlow and support for various machine learning libraries.

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5. Test Clinically

Instantly test your generated model with our Listener App for real-time clinical validation

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6. Deploy

After successful clinical evaluation, some models could be licensed for commercial use and integrated into the Clarius App.

How it works

1. Define a clinical problem.

Create a research study and customize parameters, such as the type of study, what you'll be labeling, your research team members, and more.

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2. Acquire data.

You can use both prospective or retrospective data. Use anonymized data from your existing ultrasound exams, or scan new exams and add them to your study.

3. Label the data.

Our labeling tools allow you to quickly label large amounts of data. Keyboard hotkeys make it easy to go through sequences of frames.

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4. Export your data and train model.

Export your labeled data as a TFRecord to use with your training framework of choice.

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Clarius AI real-time testing

5. Validate your model in real-time.

Our Listener API enables you to test your AI model built with TensorFlow as you scan in real time. Scan a patient and see how your model performs on a secondary device for immediate live validation.

6. Deploy your model to the Clarius App.

As AI models get validated, Clarius can make these accessible in the Clarius app for others to use.

Dr. Reza Zahiri

“One of the most challenging aspects of AI in healthcare is the ability to capture quality data that focuses on specific clinical needs. We're accelerating AI development by making it easy to acquire and label large amounts of data with our scanners and cloud platform.”

— Dr. Reza Zahiri, Director of Innovation

Current applications

Clarius AI is currently being used by various universities and research institutes to solve clinical problems. Here are a few partners we're working with now.

Clarius

Automatic Axillary Artery Detection

Automatic detection of the axillary artery in ultrasound images

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SINTEF Medical Technology, Trondheim, Norway

Nerve and Blood Vessel Visulization

Investigators: Erik Smistad, Kaj Fredrik Johansen, Daniel Høyer Iversen, Ingerid Reinertsen

Application: Highlighting nerves and
blood vessels for ultrasound-guided axillary nerve-block procedures

thinksono
ThinkSono, London, UK

DVT Detection

Investigators: Fouad Al-Noor, Sven
Mischkewitz, Antonios Makropoulos

Application: DVT Detection

Contact us for more info