Mobile devices and applications (apps) are increasingly used in clinical practice, offering reconceptualization of and novel avenues to tracking symptoms and delivery of more personalized interventions. This chapter reviews the burgeoning approaches to the integration of mobile in screening and treating individuals with eating disorders. Promising methods of data collection such as ecological momentary assessments enhance the capabilities of detecting symptoms and recognizing patterns—both are fundamental to the screening, evaluation, and monitoring of eating disorders and lay the foundations for better treatment design. More recent advances in machine learning allow ecological momentary interventions to be delivered and continuously optimized at the individual level in real time. This chapter explores what this means for the future of personalized treatment for eating disorders, referring to apps that integrate these mechanisms. Finally, the chapter provides a framework for evaluating mobile device mental health apps in clinical care.