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AI Powered Portable Lung Imaging

At Deep Breathe we combine lung ultrasound with advanced AI techniques to deliver portable, accurate and autonomous lung diagnostics.

Unlocking The Potential Of Lung Ultrasound

Innovative Technology

Experience the transformative power of Deep Breathe, where cutting-edge AI and the convenience of portable lung ultrasound technology unite to revolutionize the diagnosis of respiratory diseases. Our clinician-driven and data-centric approach sets us apart in our pursuit of healthcare innovation.

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About Us

Innovative Technology

Deep Breathe is at the forefront of revolutionizing lung health diagnostics with a team that uniquely blends software developers, engineers, clinicians, and ultrasound experts across Canada. Our diverse expertise, operating from London, Waterloo, and Vancouver, enables us to leverage cutting-edge AI and medical imaging technology, fostering a culture of innovation and cross-disciplinary collaboration.

Founder

Dr. Rob Arntfield, our visionary founder, is a world-renowned thought leader and expert in point-of-care ultrasound. With a distinguished background in critical care and emergency medicine, Rob’s passion for improving patient outcomes through technology has driven Deep Breathe’s mission to democratize lung health diagnostics. His leadership and innovative spirit continue to inspire our groundbreaking work.


8

Peer-reviewed publications as leaders in this space


5

Patents filed, protecting our innovations


$36 Billion

The chest X-ray market size in the USA we are addressing

Explore Our Products

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UltraMask

A software tool that removes any and all information extraneous to the ultrasound beam from medical images to create a clean and anonymized dataset for model development.

Best in class lung sliding AI model currently undergoing regulatory validation.

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Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence

This study examined the real-time diagnostic accuracy of artificial intelligence-assisted lung ultrasound (AI-LUS) in identifying absent lung sliding, crucial for pneumothorax diagnosis. Results indicated high sensitivity and moderate specificity for AI-LUS, suggesting its potential utility in clinical settings.

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CHEST, 2024
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Lung Sliding Artifact Analysis Using Deep Learning

This study introduced a deep learning-based solution to automate the assessment of pneumothorax through lung ultrasound (LUS) by detecting lung sliding artifacts. Using data from two academic hospitals, researchers trained a binary classifier on M-mode (motion-mode) images extracted from B-mode (brightness-mode) videos.

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CHEST, 2022
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Normal vs. Abnormal Lung Parenchyma Recognition

This multicenter study aims to automate the crucial differentiation between A-line (normal parenchyma) and B-line (abnormal parenchyma) patterns on lung ultrasound (LUS) using deep learning. By training a customized neural network on a large dataset of labeled LUS images, the researchers achieved impressive results.

SEE PUBLICATION
Diagnostics, 2021

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Contact Us

Contact us for any inquiries, collaborations, or information. Your inquiries are valuable to us as we work.

How can we help you?

Clean and standardize your ultrasound data

Customized SaaS AI diagnostic solutions

Disease-specific lung diagnostics (patent pending)

Deploy hardware-optimized solutions

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How can we help you?

Clean and standardize your ultrasound data

Customized SaaS AI diagnostic solutions

Disease-specific lung diagnostics (patent pending)

Deploy hardware-optimized solutions


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© 2024, DEEP BREATHE, INC