MOJ
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Research Article Volume 13 Issue 3
Integration of a virtual assistant for the management of a master’s degree in radiodiagnostics using artificial intelligence
José Cabrales Fuentes, Susana Verdecia Barbie, Yunior Comas Tamayo
Received: July 27, 2025 | Published: September 26, 2025
Citation: Fuentes JC, Barbie SV, Tamayo YC. Integration of a virtual assistant for the management of a master’s degree in radiodiagnostics using artificial intelligence. MOJ Surg. 2025;13(3):77-81. DOI: 10.15406/mojs.2025.13.00298
Abstract
Introduction: Digital transformation has significantly impacted the management of scientific health societies and academic networks, driving the adoption of disruptive technologies such as artificial intelligence (AI). In this context, the integration of AI-based virtual assistants emerges as an innovative solution to optimize administrative processes, improve internal and external communication, and facilitate access to relevant information for its members. Objective: To design a virtual assistant for the management of a master’s degree in radiodiagnosis 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 development of the AGENTE_MDIM chatbot, as a conversational virtual agent, represents a key result with significant impact across multiple dimensions. This Artificial Intelligence-based system not only facilitates the management of a master’s degree in radiodiagnosis but also optimizes its operations by automating critical processes. Conclusions: The chatbot represents a key tool for digital transformation in academic networks and scientific societies. Its use automates processes, improves efficiency, and reduces the administrative burden. It facilitates communication, promotes participation, and strengthens organizational management. It is an innovative agent with great potential to scale in other educational and scientific environments.
Keywords: chatbot, process management, artificial intelligence, imaging, medical imaging diagnostics
©2025 Fuentes, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.