Founder
UCRAFT
This company develops a digital stethoscope that uses deep learning to analyze heart and lung sounds in children. The stethoscope helps pediatricians detect conditions like AV fistula thrombosis early, potentially preventing costly hospitalizations.
- Artificial Intelligence
- Digital Health
- Hardware
- Healthcare Technology
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Traditional auscultation methods rely on subjective interpretation of heart and lung sounds, potentially leading to delayed or inaccurate diagnoses, especially in pediatric patients. Access to pediatric cardiology expertise can be limited, resulting in delayed identification and management of pathologic heart murmurs.
Solution
Wav AI develops a digital stethoscope that leverages deep learning to provide data-driven insights from auscultation, enhancing the physical exam. The stethoscope captures and visualizes waveform data, empowering physicians to apply AI-powered analysis at the point of care. Trained on data from thousands of patients, the AI models assist in the early detection of conditions such as pathologic heart murmurs in children. The wireless design ensures ease of use and compatibility with existing analog stethoscopes.
Target Audience
The primary target audience includes pediatricians and general practitioners who seek to improve the accuracy and efficiency of cardiac auscultation in children.
Features
- AI-powered analysis of heart and lung sounds
- Pediatric heart murmur detection
- Visual waveform interface for enhanced auscultation
- Wireless, digital stethoscope design
- Reverse compatibility with analog stethoscopes
- Integration of AI insights into the physical exam
- Potential for remote home monitoring applications