Generative AI is quickly altering healthcare, opening up alternatives to raised tackle real-world well being challenges. Throughout the African continent, there’s broad curiosity in tackling such challenges, starting from cervical most cancers screening to maternal well being help.

With the above in thoughts, in collaboration with three pan-African information science and machine studying communities — SisonkeBiotik, Ro’ya, and DS-I Africa — we hosted an Africa-wide Information Science for Well being Ideathon, centered on leveraging Google’s open Well being AI fashions to deal with real-world well being challenges.

From over 30 bold and technically wealthy submissions, six finalist groups have been chosen for his or her daring concepts, sturdy foundations, and potential for significant affect throughout African well being techniques. These groups obtained mentorship from international specialists and technical sources offered by Google Analysis and Google DeepMind.

This displays broad curiosity throughout the African continent on understanding how AI can be utilized to create native options to native priorities round well being, agriculture and local weather. That is a part of Google’s broader initiatives on AI for Africa together with in areas of well being, training, meals safety, infrastructure and languages.