 Abstract, diabetic retinopathy, DR, is a leading cause of preventable blindness worldwide. Automated detection of DR using artificial intelligence, AI, has been shown to be an effective tool to reduce the burden of vision loss. However, there are several challenges associated with deploying AI for DR screening, including workflow issues, technical issues, ethics, and health economics. To ensure successful implementation of AI for DR screening, it is important to consider these challenges, and develop a governance model for AI in healthcare. This article was authored by Andrei Grzbowski, Paneesha Singh Hanita, Anasandhata Grunksank, and others.