In recent years, wearable remote monitoring devices have been increasingly utilized across various healthcare domains and have gained attention as a potential tool for the smoking events detection. Given the substantial impact of smoking on global public health—and according to the designation of smoking treatment as a “priority objective” requiring innovative methodologies development—this paper presents a study proposal for an AI-driven intervention program that integrates wearable devices, telemedicine, and personalized support strategies to assist smokers in a novel, personalized, and multimodal telerehabilitation smoking cessation program. As a project proposal, this work aims to provide the conceptual and methodological foundation for subsequent clinical studies. The project seeks to monitor changes in cardiopulmonary, oral health, and quality-of-life (QoL) parameters throughout the smoking cessation process, also assessing patient adherence, usability, and satisfaction. Wearable devices will be employed to detect smoking-related gestures, monitor vital signs, and support adherence, whereas telemedicine platforms will facilitate continuous monitoring, enhance communication and program personalization. Expected outcomes include improvements in nicotine dependence severity, QoL, cardiopulmonary and oral health parameters, along with higher adherence and satisfaction than traditional programs. The proposed intervention holds the potential to enhance smoking cessation strategies effectiveness, reduce smoking-related morbidity and healthcare expenditures. Nonetheless, issues related to data security, privacy, and integration into existing healthcare systems must be carefully addressed.