The constant technological advance has allowed the evolution of medical practice, generating the concept digital health, which consists of incorporating information and communication technologies into health care products, services and processes. One of the tools that allow this advance is Artificial Intelligence (AI), a branch of computing that develops algorithms capable of learning from data and using what they have learned in decision-making just as a human being would. This study identifies how research, diagnostic decisions, patient treatment and planning for prevention and health control are being optimized thanks to the implementation of AI, showing quantitative analysis at the level of interest and application associated with these four processes with respect to the diseases that most affect the population of Peru and Latin America.