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Introduction: In the context that even defined as a reference in health care, the treatment to end the use of tobacco has in the adherence your major challenge, asks about the panorama of promising computational technologies. The study aimed to summarize the evidence, through a systematic review, about the overview of these tools in the adherence of smoking cessation therapy. Method: The databases, Medline (via PubMed), Cochrane Libray, Scopus, Web of Science and Lilacs, were consulted using a search strategy based on health condition and intervention of interest. Study selection, carried out in two steps (titles and abstracts and, later, full text), quality assessment and data extraction were performed in duplicate with disagreement in charge a third reviewer. Results: Twelve clinical trials with a predominantly female population, with spotlight for age group over 35 years old, were included in the review. Most of them, characterized by publication after 2013 and in the North American subcontinent, with follow-up time of less than four months. The study sample sizes were comprehensive, with a median of 350 participants and an average of 2,831.75. The definition of adherence to smoking treatment was different between studies, but it was possible to make comparability in more than 90% of the groups investigated. Even with the decrease inherent in the smoking population, the outcome of interest (adherence to smoking treatment) in computational technologies was propitious, as well as in the treatment groups that associated it with pharmacotherapy. Conclusion: The panorama was favorable to adherence to smoking cessation treatment conducted by computational technologies.