Abstract
Computing in general, and the AI revolution specifically, continues to change the landscape of nearly all domains, medicine included. For instance, patient interactions can be simplified by personalized bots, potential mental health concerns can be detected early through opt-in monitoring agents, and treatment efficacy can be predicted via data mining applications. These are just some examples where computing is reshaping medical practice. Specifically, describing some patented, licensed, and/or proprietary technology, we illustrate a patient-centered, digital front door for multiple patient interaction paradigms. We then highlight an intelligent agent that identifies behavioral deviancy, an early warning for potential mental health concerns. We continue with intelligent agent technology, but this time, to screen for covid-19 via the use of surrogates. Finally, we introduce a graph-kernel based approach for predictive prescription efficacy. We conclude with some observations. This is a multi-disciplinary talk aimed at a general audience.
Full announcement at: MIE Events