The startup develops a medical device utilizing airborne ultrasound technology to screen, diagnose, and monitor cardiac and pulmonary conditions in both acute and chronic settings. This device enhances the speed and accuracy of diagnosing patients with symptoms like dyspnea or chest pain, improving clinical outcomes for lung and heart diseases.
Funding
$650K 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.
AFounders
Product
Problem
Emergency rooms face challenges in rapidly and accurately diagnosing the underlying causes of respiratory symptoms like dyspnea and chest pain. Current diagnostic pathways may involve multiple tests, such as chest X-rays, pulmonary ultrasounds, and ECGs, leading to delays in treatment and potentially unnecessary radiation exposure.
Solution
AUSTRAL Dx is developing a medical device that uses airborne ultrasound technology to improve the speed and accuracy of diagnosing cardiac and pulmonary conditions. The device is designed for use in both acute and chronic care settings, providing clinicians with additional data to inform diagnostic strategies. By offering a non-invasive method for assessing lung and heart function, the technology aims to help emergency physicians quickly determine the origin of respiratory symptoms and guide appropriate interventions. The goal is to reduce the need for certain examinations in emergency situations, while still providing valuable insights for patient care.
Target Audience
The primary target audience includes emergency physicians and pulmonologists working in hospitals and acute care facilities.
Features
- Employs airborne ultrasound technology for non-invasive assessment of cardiac and pulmonary function.
- Designed for use in emergency rooms and other acute care settings.
- Aims to accelerate the diagnostic process for patients presenting with dyspnea or chest pain.
- Provides additional data to assist physicians in defining the optimal diagnostic strategy.