A Virtual Assistant Using Artificial Intelligence to Manage a Master's Degree in Radiodiagnosis
Keywords:
Inteligencia Artificial, Diagnóstico por Imagen, ambiente virtualAbstract
Introduction: The integration of AI-based virtual assistants is emerging as an innovative solution for optimizing administrative processes, improving internal and external communication, and facilitating access to relevant information; all of which are priorities in the management of teaching processes.
Objective: To design a virtual assistant for managing a Master's program in diagnostic radiology using artificial intelligence.
Methodology: The Design Thinking methodology was used, which includes five phases: empathize, establish, conceive, create a model, and test. In the prototyping phase, technologies such as HTML5, JavaScript, and CSS were used for screen design. The system was developed using tools such as Node.js, Laravel, PHP, and Python, while data management was performed using the PostgreSQL database.
Results: The virtual assistant integrated functionalities for academic queries, access to grades, the teaching calendar, technical support, and personalized guidance. The incorporation of interactive menus and navigation buttons facilitated usability on different devices. Expert opinion yielded a competency coefficient of 0.89, classifying the proposal as novel and relevant.
Conclusions: The objective was met by improving academic management through automation and streamlined access to information. Its acceptance confirms its viability and potential for scalability to other graduate programs.
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Copyright (c) 2025 Jose Cabrales Fuentes, José Alberto Álvarez Cuesta, Verónica Aleyda Velázquez González, Andria Torres Guerra, Pedro Rafael Martínez Lozada, Yudith Aracelis Fornaris Pérez, Katiuska Ivonne Cordovés Molina, Juan Manuel Heredia Suárez
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