Medical artificial intelligence (AI) is moving forward at considerable pace. Promising research ideas are surfacing in clinical waters; AI is automating the national 111 triage service [1] and has exhibited dermatologist-level performance at identifying suspicious skin lesions, a task where experts frequently disagree [2]. The present article explores how machine learning, a prominent branch of AI, may be set to transform diabetes care. This article is protected by copyright. All rights reserved.