Central African Republic | Global health | AI collaboration network
The Village platform uses AI to connect healthcare professionals and organizations worldwide, fostering equitable collaboration and mentorship in global health. By promoting resource-sharing and cross-border networking, The Village seeks to democratize access to healthcare knowledge and accelerate advancements in underserved regions.
Senegal | Pediatric health | AI diagnostic app
GALSEN DEEP VISION, a mobile application powered by AI, detects strabismus in children by analyzing facial images for angular deviations. This tool will allow parents and healthcare providers to identify early signs of strabismus, ensuring timely interventions and expanding access to pediatric eye care in underserved areas.
Senegal | Community Health | AI Conversational Agent
MSAQ is an AI-driven chatbot that provides community health workers with reliable health information on maternal health, infectious diseases, and more. Utilizing an offline knowledge base, MSAQ will enable health workers to respond with contextualized, verified advice, bridging information gaps and enhancing patient care in remote areas.
Senegal | Liver Health | AI-Based Diagnostics
To tackle the late diagnosis of liver fibrosis due to Hepatitis B, this project leverages deep learning to create a cost-effective, non-invasive diagnostic tool. Designed to function in low-income settings, the AI model will enhance early detection capabilities, aiming to improve access to timely diagnostics for affected populations across West Africa.
Senegal | Cardiovascular Health | Family-Centered Health Model
This project promotes a household-centered approach to cardiovascular health, collecting data on lifestyle and environmental factors. Through a health and environment barometer, it will identify family-based cardiovascular risks and encourage family involvement in health decisions, ultimately enhancing adherence to preventive health measures and improving outcomes.
Cameroon | Health Literacy | AI Chatbot Technology
Focused on Fulfulde-speaking communities, this project utilizes AI to develop a multilingual chatbot delivering real-time health information in local languages. Equipped with offline capabilities, the chatbot will facilitate a better understanding of health topics, aiming to enhance health literacy and lower health risks for communities with limited internet access.
Senegal | Healthcare education | AI-driven training
This innovation incorporates Large Language Models into the Medical Learning Hub (MLH), TC4A’s specialized e-learning platform designed for healthcare providers, to generate personalized assessment questions based on clinical guidelines. This tool enhances comprehension of SOPs among healthcare professionals, improving adherence to healthcare standards. By ensuring ongoing professional development, the project will strengthen the skills of healthcare workers across Francophone Africa.
Senegal | Primary healthcare | AI-based triage
Addressing challenges in patient intake, Haskè Health is implementing an AI-powered system to improve triage accuracy and reduce wait times in Senegal’s primary healthcare facilities. By using a Medical Large Language Model to assess symptoms and prioritize care, the project will enhance patient experiences and alleviate healthcare provider workloads.
Senegal | Infectious diseases | Disease mapping and AI
This project addresses schistosomiasis, also known as bilharzia, an infection caused by a parasitic disease impacting millions in low-income regions. Collaborating with U.S. universities and the Centre of Excellence in Mathematics, Computer Science and ICT (CEA-MITIC) at Senegal’s Gaston Berger University (GBU), this initiative leverages drone and satellite imagery with AI models to map high-risk areas, enabling targeted interventions. This AI approach is set to transform schistosomiasis control strategies, while also training local students in innovative disease surveillance techniques.
Senegal | Reproductive Health | AI Chatbot Technology
The Weerwi mobile application provides reproductive health information to young girls in Senegal and West Africa, currently handling around 10,000 monthly interactions. Upgrading its chatbot with generative AI and an advanced Large Language Model (LLM) will enable more personalized advice, considering previous interactions, and a familiar communication style to better target young girls on prevention and awareness. In addition, the team will implement a content recommendation algorithm based on the user’s interactions with the chatbot. Personalized notifications with a proposal for relevant content (video, etc.) will be sent to users.
Contact us:
grandchallenges.senegal@pasteur.sn