Deep Breathe combines lung ultrasound with artificial intelligence to provide portable and autonomous diagnostics for respiratory diseases. This technology enables real-time detection of critical conditions like pneumothorax, improving diagnostic accuracy and patient outcomes in various clinical settings.
Funding
$10K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Diagnosing respiratory diseases often requires specialized equipment and expertise, which can be challenging to access in various clinical settings. Traditional methods may also lack the speed and accuracy needed for timely intervention in critical cases like pneumothorax.
Solution
Deep Breathe is developing a solution that combines lung ultrasound with artificial intelligence to provide portable and autonomous diagnostics for respiratory diseases. Their technology aims to enable real-time detection of critical conditions, improving diagnostic accuracy and patient outcomes. The company's products include software tools for cleaning and anonymizing ultrasound data, as well as AI models for detecting specific lung conditions. Deep Breathe's approach is clinician-driven and data-centric, focusing on healthcare innovation through the integration of AI and medical imaging.
Target Audience
The primary target audience includes clinicians, hospitals, and healthcare providers seeking portable, accurate, and autonomous lung diagnostic tools, as well as researchers and developers in the field of medical imaging and artificial intelligence.
Features
- UltraMask: Software tool that removes extraneous information from ultrasound images to create anonymized datasets for model development.
- PneumoLens: AI model for lung sliding detection, currently undergoing regulatory validation.
- AI-powered analysis of lung ultrasound images for real-time detection of absent lung sliding, crucial for pneumothorax diagnosis.
- Deep learning-based solution to automate the assessment of pneumothorax by detecting lung sliding artifacts.
- Deep learning models for differentiating between normal (A-line) and abnormal (B-line) lung parenchyma patterns.
- Options for customized SaaS AI diagnostic solutions and disease-specific lung diagnostics.
- Capabilities to deploy hardware-optimized solutions.