RT Journal Article T1 Monitoring and Follow-Up of Patients on Vitamin K Antagonist Oral Anticoagulant Therapy Using Artificial Intelligence: The AIto-Control Project A1 Romero Arana, Adolfo A1 Romero Sibajas, Nerea A1 Arroyo Bello, Elena A1 Romero Ruiz, Adolfo A1 Gómez Salgado, Juan AB Background: Vitamin K antagonist oral anticoagulant (VKA) therapy, using warfarin or acenocoumarol in our health system, is indicated, according to clinical guidelines, for the prophylaxis of thromboembolic events. In Málaga, the VKA patient management program currently includes a total of 856 patients. Hypothesis: The use of an AI-based application can enhance treatment adherence among VKA patients participating in self-monitoring and self-management programs. Furthermore, it can support the comprehensive implementation of the system, leading to reduced costs and fewer interventions for anticoagulated patients. Methods: The study will be conducted in several phases. The first phase involves the development of the application and the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. The second phase includes preliminary testing and validation of the developed application. The third phase consists of full implementation, along with an assessment of user-identified needs and potential quality improvements. Expected Results: The implementation of the AIto-Control app is expected to reduce healthcare-related costs by decreasing primary care visits and hospital admissions due to thromboembolic or bleeding events. Additionally, it aims to ease the workload on both primary care and hospital services. These outcomes will be achieved through the involvement of advanced practice nurses who will supervise app-based monitoring and patient education. PB MDPI SN 2077-0383 (electrónico) YR 2025 FD 2025 LK https://hdl.handle.net/10272/27252 UL https://hdl.handle.net/10272/27252 LA eng NO Romero-Arana, A., Romero-Sibajas, N., Arroyo-Bello, E., Romero-Ruiz, A., & Gómez-Salgado, J. (2025). Monitoring and Follow-Up of Patients on Vitamin K Antagonist Oral Anticoagulant Therapy Using Artificial Intelligence: The AIto-Control Project. Journal of Clinical Medicine, 14(20), 7191. https://doi.org/10.3390/jcm14207191 NO We the authors want to thank to the Consejo General de Enfermería, from Spain, for funding our research group, with the code PNI_CGE172. DS Repositorio Institucional de la Universidad de Huelva RD 31 may 2026