In developed countries, most adults now seek health information online, and the use of digital health tools—such as telehealth, wearable monitoring devices, and online interventions—has become widespread. Advanced analytic methods, including machine learning, are evolving rapidly and offer significant potential for identifying patterns in the vast datasets generated by digital health technologies. These insights can support the development of highly personalized tools and interventions. However, access to these resources, as well as their effectiveness, remains inequitable, with patients most affected by lifestyle-related illnesses often being the last to benefit. This chapter reviews the application of digital health technology in lifestyle medicine, highlighting recent research, progress toward integrating these technologies into clinical practice, and existing gaps that reflect implementation challenges or the need for further research and education.