This article briefly analyzes recent Patent Trial and Appeal Board (PTAB) decisions on medical technology incorporating artificial intelligence (AI). Each decision involves reversal of a prior art rejection and contrasts with the other decisions on subject matter eligibility. The innovations at issue relate to a range of medical technologies concerning anatomical location-based machine learning models to predict pathological abnormalities, operation of a robotic surgical device prompted by an intra-operative surgical recommendation, and polygenic models to predict characteristics of individuals based on genetic variants. The decisions reveal different PTAB approaches and results that can inform prosecution and appeal strategies.