Artificial Intelligence in Medicine (AIM) has the potential to transform physicians’ clinical practice and patients’ health outcomes. The versatility, adaptability, and ability to mimic human behaviours of AI chatbots support their relevance in various chronic diseases for diagnosis, patient disease education, symptoms management or to support physician workflow. Haemophilia is a congenital bleeding disorder, People With Haemophilia (PWH) face may challenges because of the rarity of their condition. In low-resource settings such as sub-Saharan Africa (SSA), haemophilia care management and disease education need to be significantly improved.

First, this thesis aimed to understand the challenges, beliefs, behaviors of People with Haemophilia (PWH) in Senegal and to identify the main gaps in haemophilia care. Second, the research focused on the design, development and implementation of an AI chatbot to tackle gaps in disease knowledge. Third, an evaluation of its usability and level of satisfaction of chatbot’s users was also conducted. The published articles describe an original approach with different AI subsets to develop a culturally adapted and multi-lingual (French and Wolof) chatbot for haemophilia. Results are preliminary indicators to support the relevance of implementing an AI chatbot for haemophilia education in Sub-Saharan Africa to potentially improve the Quality of Life ( QoL) of People with Haemophilia.