HealthPulse AI App
Audere

Solution Overview & Benefits
HealthPulse AI, developed by the nonprofit Audere, is a suite of artificial intelligence-powered tools designed to enhance the accuracy and accessibility of rapid diagnostic testing (RDT) in underserved communities. By leveraging computer vision and machine learning, HealthPulse AI transforms standard smartphones into reliable diagnostic aids, capable of interpreting RDT results for diseases such as malaria, HIV, and COVID-19.
Key Features:
- AI-Driven Interpretation: Utilizes advanced algorithms to accurately read and interpret RDT results, reducing human error and ensuring consistent diagnostics.
- Image Quality Assurance: Incorporates real-time feedback mechanisms to ensure that images captured for analysis meet the necessary quality standards, even on low-end devices.
- Offline Functionality: Designed to operate without constant internet connectivity, making it suitable for remote or resource-limited settings.
- Integration Capabilities: Offers a mobile SDK and web services, allowing seamless incorporation into existing health systems, apps, and workflows.
- Data Digitization: Automatically digitizes test results, facilitating real-time surveillance, program reporting, and informed decision-making.
History & Development
Audere, founded in 2018, is a global digital health nonprofit co-headquartered in Seattle, Washington, and Johannesburg, South Africa. The organization operates at the intersection of global health and high technology, aiming to advance health equity in underserved communities worldwide. The development of HealthPulse AI was initiated to address the challenges of accurate and timely diagnostics in low-resource settings, where access to healthcare and trained professionals is limited.
Availability
- Countries where available: Rwanda, Kenya, Nigeria, South Africa, Uganda, Zambia, Benin, Côte d'Ivoire, Peru, United States, Australia
- Price range (USD): contact solution provider for quote
Specifications
Open Access: The platform is designed to be a cost-effective solution for enhancing diagnostic accuracy and data reporting, operating on a cost-recovery basis to make the technology affordable for low- and middle-income countries.
Additional Information
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