 This paper proposes an artificial intelligence, AI, powered magnetic digital microfluidics, MDM, platform with image-based real-time feedback control. This platform can rectify failed droplet operations based on the feedback information, which is unattainable by conventional MDM platforms. It has been demonstrated to successfully execute fundamental droplet operations such as droplet transport, particle extraction, droplet merging and droplet mixing. Furthermore, protein quantification and antibiotic resistance detection have been performed on this AI-empowered MDM platform, and the results agreed well with the benchmarks. The authors believe that this AI-based feedback approach will be widely adopted not only by MDM but also by other types of digital microfluidic platforms to offer precise and error-free droplet operations for a wide range of automated IVD applications. This article was authored by Yixuan Tang, Fei Duan, Ai Wuzhou and others.