Development of an artificial intelligence–based web application prototype for the early detection of respiratory diseases

Desarrollo de un prototipo de aplicación web basada en inteligencia artificial para la detección temprana de enfermedades respiratorias

Authors

  • Carlos Moquillaza-Alejos Universidad de Ciencias y Humanidades (UCH). Lima, Perú.
  • Fernando Rojas-Sosa Universidad de Ciencias y Humanidades (UCH). Lima, Perú.
  • Jorge Andrade-Mercado Universidad de Ciencias y Humanidades (UCH). Lima, Perú.
  • Sebastian Castillo-Camac Universidad de Ciencias y Humanidades (UCH). Lima, Perú.
  • Sebastian Ramos-Cosi Universidad de Ciencias y Humanidades (UCH). Lima, Perú.

Abstract

Objective: To present the development of a web application prototype based on Artificial Intelligence (AI) for the early detection of respiratory diseases, in order to explore its applicability in timely diagnostic support. Materials and Methods: It uses the agile Scrumban methodology, which combines the Scrum structure with the flexibility of Kanban, allowing adaptive workflow management. The prototype design included the integration of machine learning models, such as convolutional neural networks (CNNs), applied to simulated and open-access clinical data. Expected results: The prototype incorporates a web interface aimed at healthcare professionals, with functionalities for patient management and preliminary data analysis using AI. Its application is expected to improve the accuracy of initial diagnosis and facilitate integration in resource-limited settings. Conclusions: This advanced protocol demonstrates the potential of AI for the early diagnosis of respiratory diseases. The next phase is proposed: pilot validation in simulated scenarios and subsequently, its evaluation in real clinical environments. Keywords: Artificial Intelligence, Mobile Aplications, Early Diagnosis, Respiratory Tract Diseases (Source: MeSH, NLM).

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Published

2025-12-15

How to Cite

Moquillaza-Alejos, C., Rojas-Sosa, F., Andrade-Mercado, J., Castillo-Camac, S., & Ramos-Cosi, S. (2025). Development of an artificial intelligence–based web application prototype for the early detection of respiratory diseases: Desarrollo de un prototipo de aplicación web basada en inteligencia artificial para la detección temprana de enfermedades respiratorias. Peruvian Journal of Health Care and Global Health, 9(3). Retrieved from http://revista.uch.edu.pe/index.php/hgh/article/view/335

Issue

Vol. 9 No. 3 (2025)

Section

Protocolos de investigación

License

Copyright (c) 2025 Carlos Moquillaza-Alejos, Fernando Rojas-Sosa, Jorge Andrade-Mercado, Sebastian Castillo-Camac, Sebastian Ramos-Cosi

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