Empowering Innovation Through Tailored Artificial Intelligence Solutions
Accelerating TB Diagnosis with Artificial Intelligence
The Project
We are developing and validating an AI-based diagnostic tool capable of analyzing chest X-ray images to identify signs of tuberculosis in under 5 minutes. This technology is designed to work in areas with limited access to radiologists, enabling earlier diagnosis and treatment where it’s needed most.
The system builds on successful international studies combining portable X-ray machines with embedded AI software, now adapted and tested in the Mozambican context.
Implementation & Partnerships
- Pilot Phase (2025): The project is currently in validation, analyzing over 1,000 chest X-rays in collaboration with Maputo Central Hospital
- Focused on scaling the solution to underserved areas across the country
- Developed with clinical input from local healthcare workers and specialists
Impact
- Early and accurate TB detection, reducing transmission and mortality
- Strengthens public health surveillance in high-burden regions
- Bridges the human resource gap by offering diagnostic support where radiologists are unavailable
- Demonstrates the potential of AI to transform infectious disease control in Africa
Future Outlook
Following successful validation, we aim to deploy the solution nationally with support from public health agencies and NGOs. This model may also be replicated for other diseases such as pneumonia or lung cancer using similar imaging data.
Let’s Co-Create Health Solutions
We collaborate with incubators, accelerators, and VC-backed startups in need of AI integration, offering mentorship, technical support, and co-development models.
Contact
- 17 Longford Place, Manchester, England, M14 5QQ
- +44 7936 386026
- contact@mozbiomed.co.uk
