Optimizing AI-Assisted Heavy Menstrual Bleeding Diagnostics and Management for Low- and Middle-Income Countries

Susan Ontiri of the International Centre for Reproductive Health Kenya in Kenya will explore AI-enabled ultrasound for diagnosis of structural causes in the uterus of heavy menstrual bleeding, as well as exploring multiple treatment options for the condition. A cohort of 120 women with heavy menstrual bleeding will be recruited at the Coast General Teaching and Referral Hospital in Kenya. Participants will receive the standard clinical assessment together with an ultrasound evaluation. The accuracy and feasibility of the two diagnostic methods will be compared, and the ultrasound images will be annotated by experts and used to develop an AI-based model to enhance diagnosis by ultrasound. A pilot treatment trial will also be performed. Treatments including hormonal therapy, tranexamic acid, and non-steroidal anti-inflammatory drugs (NSAIDs) will be assessed, comparing feasibility, acceptability, adherence, and effectiveness.