Setting

From the ICU to outpatient clinics and inpatient post-procedure care, our technology enables rapid bedside assessment to rule out lung and torso conditions associated with trauma or commonly seen after procedures, providing clinicians with timely diagnostic confirmation. Built on clinical trials conducted in pulmonology units and post-procedure settings where chest X-rays are routinely used, and founded by an ICU physician with deep ultrasound expertise and firsthand experience of diagnostic gaps in existing workflows, Deep Breathe is actively collaborating with medical facilities on pilot programs and research studies.

Clinical Challenge

Frontline clinical challenges stem from inefficiencies in diagnostic workflows, including prolonged wait times, resource constraints, and limited decision-support at the point of care. Chest X-ray remains heavily relied upon, despite being time-consuming, resource-intensive, exposing patients to radiation, and lacking sensitivity for certain conditions. While point-of-care ultrasound offers clear clinical advantages, its broader adoption is limited by training and interpretation barriers. Post-procedure assessments often extend hospital stays, as patients are continuously monitored for developing conditions such as pneumothorax, placing additional demand on staff, resources, and bed capacity.

Clinical Deployment and Use

Deep Breathe technology has been, and continues to be, evaluated in real-world clinical settings through research studies and pilot programs across Canada and the United States. The platform is evaluated by ICU attending physicians and used in post-procedure inpatient and outpatient environments, where it integrates into existing diagnostic workflows.

In acute care settings, the technology supports rapid assessment at initial trauma patient intake, delivering diagnostic results within seconds. In post-procedure care, it enables bedside monitoring for exams traditionally reliant on chest X-ray, allowing clinicians to assess symptoms without delaying care or requiring patient transport.

These research and pilot deployments support validation of performance, usability, and clinical impact, while recent FDA approval of the platform’s base diagnostic models marks a critical step toward broader clinical adoption.

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Outcomes in Hospital Settings

Deep Breathe enables immediate, accurate bedside assessment of lung and torso conditions in hospital settings,  supporting faster and more confident clinical decision-making.  By lowering adoption barriers to point-of-care ultrasound, the platform helps streamline diagnostic workflows across a broad range of users.

Clinical  outcomes include faster diagnostics, more efficient post-procedure monitoring, and greater clinical reassurance. Research shows that Deep Breathe achieves 48% higher accuracy than chest X-ray for pneumothorax detection (1,2,3), reducing a diagnostic process that can take up to two hours to an immediate bedside result.

• TANAFFOS. (2014). Diagnostic Accuracy of Chest Ultrasonography versus Chest Radiography for Identification of Pneumothorax: A Systematic Review and Meta-Analysis.
• Computers in Biology and Medicine. (2022). Accurate assessment of the lung sliding artefact on LUS using a deep learning approach.
• CHEST. (2024). Automated Real-Time Detection of Lung Sliding Using AI: A Prospective Diagnostic Accuracy Study.