Digital Health and Artificial Intelligence in Preventive Medicine: Opportunities and Challenges

The convergence of digital technologies — mobile health applications, wearable devices, telemedicine, and artificial intelligence — with preventive medicine is reshaping how health risks are identified, monitored, and mitigated at the population level. This chapter critically reviews the evidence on the effectiveness of digital preventive health interventions, the application of machine learning in predictive risk modeling, and the use of big data analytics in population health surveillance. Ethical considerations including algorithmic bias, data security, and equitable access to digital health tools are examined in depth.