MedaPlus offers an AI-powered software platform that analyzes respiratory and heart signals to provide predictive diagnostics. Their explainable AI helps medical professionals identify potential health issues earlier and more accurately.
Funding
Funding not disclosed
Founders
Product
Problem
Diagnosing respiratory and heart conditions often requires experienced medical staff, which may not always be available due to time, availability, and economic constraints, especially in resource-constrained communities. Early diagnosis and routine monitoring are crucial for timely interventions, but current methods can be inconsistent and expensive.
Solution
MedaPlus offers an AI-assisted software platform that delivers predictive diagnostics for respiratory and heart signals, leveraging explainable AI. The platform digitizes analog stethoscope readings and analyzes auscultation data for anomalies, comparing it against a large database of reference patterns classified by physicians. This enables healthcare professionals to record, share, and compare results for second opinions or treatment follow-up, supporting both physicians and non-physician staff by providing clinical expertise and facilitating remote patient monitoring. The platform also supports training and education by objectifying auscultation results.
Target Audience
The primary users are physicians, clinicians, healthcare practitioners, and non-physician staff involved in diagnosing and monitoring respiratory and heart conditions, as well as educational institutions training respiratory specialists.
Features
- AI-driven analysis of respiratory and heart sounds, and ECG signals
- Digitization of analog stethoscope data
- Secure storing and sharing of stethoscope readings
- Integration with existing telehealth solutions
- Explainable AI providing references to previously established results
- One of the largest manually reviewed sound databases for reference