AI-SUSTAINS CVD Care

Cardiovascular diseases (CVDs) are among the leading causes of death worldwide. In countries such as Ethiopia, however, access to timely and accurate diagnosis remains extremely limited. With only 30 cardiologists serving a population of ca. 130 million people, many life-threatening heart conditions are either detected too late or not diagnosed at all.

 

The AI-SUSTAINS CVD Care project addresses this challenge by combining artificial intelligence with clinical expertise to deliver scalable, high-quality cardiac diagnostics in low-resource settings.

 

A Strong International Consortium

AI-SUSTAINS CVD Care is built on a close collaboration between partners who bring complementary expertise and a shared commitment to impact. The project is jointly implemented by us MI4People (Germany), the Armauer Hansen Research Institute (AHRI, Ethiopia), which leads clinical implementation and ensures alignment with national healthcare systems, and Technische Hochschule Mittelhessen (THM, Germany), the academic partner responsible for developing the underlying AI models and explainability methods.

 

This international consortium combines advanced AI research with deep local integration into the Ethiopian healthcare system. It is precisely this combination that enables not only technological innovation but also direct real-world impact and long-term sustainability.

 

Proven Success: A Completed Pilot with Real Impact

AI-SUSTAINS CVD Care is not a theoretical concept. The project has already been successfully piloted in Ethiopian hospitals with financial support from the Bavarian State Chancellery.

 

During this pilot phase, the consortium deployed AI-supported ECG diagnostic in nine hospitals and trained over 30 healthcare professionals to integrate the technology into their daily workflows. The results were highly encouraging. The system was well accepted by clinicians, integrated smoothly into existing processes, and demonstrated clear potential to improve diagnostic confidence and efficiency.

 

One of the most significant achievements of the pilot was the collection of approximately 7,000 ECG recordings from Ethiopian patients within just a few months. This dataset represents a crucial milestone and lays the foundation for the next stage of the project.

 

Closing a Critical Global Data Gap

A central challenge in medical AI today is the lack of representative data. Most existing AI models for ECG analysis have been trained predominantly on Western populations, which leads to reduced accuracy and potential bias when applied in other regions.

 

AI-SUSTAINS CVD Care directly addresses this issue. The ECG recordings collected during the pilot are being anonymized and prepared for open-source release, forming the worldwide first ECG-dataset that is specifically focused on African populations. This will enable researchers and developers worldwide to build and validate AI models that are better adapted to diverse patient groups.

 

By contributing to a more representative global data foundation, the project does not only improve diagnostics locally but also advances fairness and reliability in medical AI on a global scale.

 

Technology Designed for Real-World Impact

At the core of the project is an AI-powered ECG analysis system developed by THM and deployed via the ECG4Africa platform. The system provides real-time diagnostic support and is specifically designed to be usable in environments where specialist knowledge is scarce.

 

A key feature of the solution is its use of explainable AI, which allows clinicians to understand and trust the system’s recommendations. The platform is cloud-based, secure, and optimized for settings with limited infrastructure, ensuring that it can be effectively used in both urban and rural hospitals.

 

Importantly, the AI models are going to be continuously improved using locally collected data, ensuring that their performance becomes increasingly adapted to the populations they serve.

 

Strengthening Healthcare Systems

Beyond technology, AI-SUSTAINS CVD Care is designed as a holistic intervention that strengthens healthcare systems. The project includes extensive training for healthcare professionals, enabling them to effectively use AI-supported diagnostics in their clinical practice.

 

It is closely aligned with Ethiopian national healthcare priorities and implemented in cooperation with the Ethiopian Ministry of Health. Clinical validation, including structured evaluation methods and trials, ensures that the solution meets the highest standards of medical reliability and effectiveness.

 

By integrating technology, training, and system-level collaboration, the project creates a sustainable model that can continue to deliver impact beyond the initial implementation phase.

 

The Next Step: Scaling Impact Across Africa

Building on the success of the pilot, the consortium has developed a comprehensive plan to scale the project significantly. The vision is to expand the solution from the initial hospitals to a much larger network, reaching up to 100 hospitals and enabling access to high-quality cardiac diagnostics for hundreds of thousands of patients each year.

 

This scaling phase has been carefully designed and is ready for implementation. It includes the expansion of infrastructure, large-scale data collection, continued model improvement, and the development of one of the world’s largest open ECG dataset.

 

At this stage, the project is actively seeking funding partners, grants, and donations to realize this next phase. The groundwork has been laid, the feasibility has been demonstrated, and the potential for impact is substantial. What is needed now is the financial support to bring this vision to scale.

 

Why This Project Matters

AI-SUSTAINS CVD Care demonstrates how AI can be applied responsibly and effectively to address critical global health challenges. It tackles the shortage of medical specialists, improves diagnostic accuracy, and makes advanced healthcare accessible to underserved populations.

 

At the same time, it contributes to the global scientific and startup communities by creating open datasets and advancing research on bias reduction in AI systems. The project shows that with the right partnerships and a strong focus on real-world implementation AI can help solve problems that were previously considered too complex or too resource-intensive.

 

A Model for AI4Good

The success of AI-SUSTAINS CVD Care highlights the power of international collaboration and knowledge transfer. By bringing together expertise from Europe and Africa, the project creates a model for how technology can be developed, validated, and scaled in a way that is both innovative and equitable.

 

It is a clear example of how AI4Good initiatives can move beyond prototypes and deliver tangible, measurable impact in critical sectors such as healthcare.

 

Join Us in Scaling Impact

With a successful pilot, strong institutional partnerships, and a clear roadmap for expansion, AI-SUSTAINS CVD Care is ready for its next phase.

 

We are currently seeking funding partners and supporters who share our vision of equitable healthcare and responsible AI. Together, we can scale this solution, save lives, and contribute to a future where high-quality medical diagnostics are accessible to everyone regardless of where they live.