Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado

Jose Cristhian L. Olivos Muñoz; David G. Vilela Zimic; Ryan A. León León

doi:10.54808/CISCI2025.01.371

Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado

Translated title of the contribution: Artificial Intelligence-Assisted Medical Diagnostics Mobile Application to Support Limited Access Contexts

Jose Cristhian L. Olivos Muñoz
, David G. Vilela Zimic
, Ryan A. León León

Universidad Privada del Norte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In contexts with limited access to healthcare services, mobile technologies can facilitate preliminary medical guidance. This article presents an AI-assisted mobile application that allows users to enter symptoms, upload clinical images, and receive a preliminary diagnosis with a suggested medical specialty. The system combines natural language processing and image interpretation using a multimodal AI model. The architecture includes an interface developed in Android Studio, an API in .NET 8, and a cloud database. It was evaluated using 50 simulated clinical cases and 1,850 real consultations over a three-week period. The results achieved a diagnostic accuracy of 92% and an average response time of 2.9 seconds. These indicators validate its functionality and reliability as an initial clinical support tool. The solution offers high potential for reducing diagnostic delays and improving access to medical care in vulnerable communities.

Translated title of the contribution	Artificial Intelligence-Assisted Medical Diagnostics Mobile Application to Support Limited Access Contexts
Original language	Spanish
Title of host publication	CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias
Editors	Nagib C. Callaos, Jeremy Horne, Belkis Sanchez, Andres Tremante
Publisher	International Institute of Informatics and Cybernetics
Pages	371-381
Number of pages	11
Edition	2025
ISBN (Electronic)	9781950492879
DOIs	https://doi.org/10.54808/CISCI2025.01.371
State	Published - 2025
Event	Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, CISCI 2025 and Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2025 - 24th Ibero-American Conference on Systems, Cybernetics and Informatics, CISCI 2025 and 22nd Ibero-American Symposium on Education, Cybernetics and Informatics, SIECI 2025 - Virtual, Online Duration: 9 Sep 2025 → 12 Sep 2025

Conference

Conference	Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, CISCI 2025 and Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2025 - 24th Ibero-American Conference on Systems, Cybernetics and Informatics, CISCI 2025 and 22nd Ibero-American Symposium on Education, Cybernetics and Informatics, SIECI 2025
City	Virtual, Online
Period	9/09/25 → 12/09/25

Access to Document

10.54808/CISCI2025.01.371

Cite this

Olivos Muñoz, J. C. L., Vilela Zimic, D. G., & León León, R. A. (2025). Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado. In N. C. Callaos, J. Horne, B. Sanchez, & A. Tremante (Eds.), CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias (2025 ed., pp. 371-381). International Institute of Informatics and Cybernetics. https://doi.org/10.54808/CISCI2025.01.371

Olivos Muñoz, Jose Cristhian L. ; Vilela Zimic, David G. ; León León, Ryan A. / Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado. CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias. editor / Nagib C. Callaos ; Jeremy Horne ; Belkis Sanchez ; Andres Tremante. 2025. ed. International Institute of Informatics and Cybernetics, 2025. pp. 371-381

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title = "Aplicaci{\'o}n m{\'o}vil de Diagn{\'o}stico M{\'e}dico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado",

abstract = "In contexts with limited access to healthcare services, mobile technologies can facilitate preliminary medical guidance. This article presents an AI-assisted mobile application that allows users to enter symptoms, upload clinical images, and receive a preliminary diagnosis with a suggested medical specialty. The system combines natural language processing and image interpretation using a multimodal AI model. The architecture includes an interface developed in Android Studio, an API in .NET 8, and a cloud database. It was evaluated using 50 simulated clinical cases and 1,850 real consultations over a three-week period. The results achieved a diagnostic accuracy of 92\% and an average response time of 2.9 seconds. These indicators validate its functionality and reliability as an initial clinical support tool. The solution offers high potential for reducing diagnostic delays and improving access to medical care in vulnerable communities.",

keywords = "accessibility, Artificial intelligence, digital health, medical diagnostics, mHealth, mobile apps, symptom tracking",

author = "\{Olivos Mu{\~n}oz\}, \{Jose Cristhian L.\} and \{Vilela Zimic\}, \{David G.\} and \{Le{\'o}n Le{\'o}n\}, \{Ryan A.\}",

note = "Publisher Copyright: {\textcopyright} 2025 CISCI - Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica. All rights reserved.; Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, CISCI 2025 and Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2025 - 24th Ibero-American Conference on Systems, Cybernetics and Informatics, CISCI 2025 and 22nd Ibero-American Symposium on Education, Cybernetics and Informatics, SIECI 2025 ; Conference date: 09-09-2025 Through 12-09-2025",

year = "2025",

doi = "10.54808/CISCI2025.01.371",

language = "Espa{\~n}ol",

pages = "371--381",

editor = "Callaos, \{Nagib C.\} and Jeremy Horne and Belkis Sanchez and Andres Tremante",

booktitle = "CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias",

publisher = "International Institute of Informatics and Cybernetics",

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Olivos Muñoz, JCL, Vilela Zimic, DG & León León, RA 2025, Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado. in NC Callaos, J Horne, B Sanchez & A Tremante (eds), CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias. 2025 edn, International Institute of Informatics and Cybernetics, pp. 371-381, Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, CISCI 2025 and Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2025 - 24th Ibero-American Conference on Systems, Cybernetics and Informatics, CISCI 2025 and 22nd Ibero-American Symposium on Education, Cybernetics and Informatics, SIECI 2025, Virtual, Online, 9/09/25. https://doi.org/10.54808/CISCI2025.01.371

Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado. / Olivos Muñoz, Jose Cristhian L.; Vilela Zimic, David G.; León León, Ryan A.
CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias. ed. / Nagib C. Callaos; Jeremy Horne; Belkis Sanchez; Andres Tremante. 2025. ed. International Institute of Informatics and Cybernetics, 2025. p. 371-381.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado

AU - Olivos Muñoz, Jose Cristhian L.

AU - Vilela Zimic, David G.

AU - León León, Ryan A.

PY - 2025

Y1 - 2025

N2 - In contexts with limited access to healthcare services, mobile technologies can facilitate preliminary medical guidance. This article presents an AI-assisted mobile application that allows users to enter symptoms, upload clinical images, and receive a preliminary diagnosis with a suggested medical specialty. The system combines natural language processing and image interpretation using a multimodal AI model. The architecture includes an interface developed in Android Studio, an API in .NET 8, and a cloud database. It was evaluated using 50 simulated clinical cases and 1,850 real consultations over a three-week period. The results achieved a diagnostic accuracy of 92% and an average response time of 2.9 seconds. These indicators validate its functionality and reliability as an initial clinical support tool. The solution offers high potential for reducing diagnostic delays and improving access to medical care in vulnerable communities.

AB - In contexts with limited access to healthcare services, mobile technologies can facilitate preliminary medical guidance. This article presents an AI-assisted mobile application that allows users to enter symptoms, upload clinical images, and receive a preliminary diagnosis with a suggested medical specialty. The system combines natural language processing and image interpretation using a multimodal AI model. The architecture includes an interface developed in Android Studio, an API in .NET 8, and a cloud database. It was evaluated using 50 simulated clinical cases and 1,850 real consultations over a three-week period. The results achieved a diagnostic accuracy of 92% and an average response time of 2.9 seconds. These indicators validate its functionality and reliability as an initial clinical support tool. The solution offers high potential for reducing diagnostic delays and improving access to medical care in vulnerable communities.

KW - accessibility

KW - Artificial intelligence

KW - digital health

KW - medical diagnostics

KW - mHealth

KW - mobile apps

KW - symptom tracking

UR - https://www.scopus.com/pages/publications/105021965063

U2 - 10.54808/CISCI2025.01.371

DO - 10.54808/CISCI2025.01.371

M3 - Contribución a la conferencia

AN - SCOPUS:105021965063

SP - 371

EP - 381

BT - CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias

A2 - Callaos, Nagib C.

A2 - Horne, Jeremy

A2 - Sanchez, Belkis

A2 - Tremante, Andres

PB - International Institute of Informatics and Cybernetics

T2 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, CISCI 2025 and Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2025 - 24th Ibero-American Conference on Systems, Cybernetics and Informatics, CISCI 2025 and 22nd Ibero-American Symposium on Education, Cybernetics and Informatics, SIECI 2025

Y2 - 9 September 2025 through 12 September 2025

ER -

Olivos Muñoz JCL, Vilela Zimic DG, León León RA. Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado. In Callaos NC, Horne J, Sanchez B, Tremante A, editors, CISCI 2025 - Vigesima Cuarta Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Segundo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2024 - Memorias. 2025 ed. International Institute of Informatics and Cybernetics. 2025. p. 371-381 doi: 10.54808/CISCI2025.01.371

Aplicación móvil de Diagnóstico Médico Asistido por Inteligencia Artificial como Apoyo en Contextos con Acceso Limitado

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