Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico

Background Digital medicine is an important tool in the current healthcare landscape. Fever is an important reason for evaluating patients at first and second levels of care and a frequent symptom of diseases subject to epidemiological surveillance. Objective To evaluate the diagnostic effectiveness...

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Main Authors: Enrique Alonso Medina Fuentes, Carmen Alicia Ruíz Valdez, Porfirio Felipe Hernández Bautista, David Alejandro Cabrera Gaytán, Guadalupe Minerva Olivas Fabela, José Alberto Mireles Garza, Olga María Alejo Martínez, Brenda Leticia Rocha Reyes, Alfonso Vallejos Parás, Lumumba Arriaga Nieto, Yadira Pérez Andrade, Leticia Jaimes Betancourt, Gabriel Valle Alvarado, Oscar Cruz Orozco, Mónica Grisel Rivera Mahey
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251353292
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author Enrique Alonso Medina Fuentes
Carmen Alicia Ruíz Valdez
Porfirio Felipe Hernández Bautista
David Alejandro Cabrera Gaytán
Guadalupe Minerva Olivas Fabela
José Alberto Mireles Garza
Olga María Alejo Martínez
Brenda Leticia Rocha Reyes
Alfonso Vallejos Parás
Lumumba Arriaga Nieto
Yadira Pérez Andrade
Leticia Jaimes Betancourt
Gabriel Valle Alvarado
Oscar Cruz Orozco
Mónica Grisel Rivera Mahey
author_facet Enrique Alonso Medina Fuentes
Carmen Alicia Ruíz Valdez
Porfirio Felipe Hernández Bautista
David Alejandro Cabrera Gaytán
Guadalupe Minerva Olivas Fabela
José Alberto Mireles Garza
Olga María Alejo Martínez
Brenda Leticia Rocha Reyes
Alfonso Vallejos Parás
Lumumba Arriaga Nieto
Yadira Pérez Andrade
Leticia Jaimes Betancourt
Gabriel Valle Alvarado
Oscar Cruz Orozco
Mónica Grisel Rivera Mahey
author_sort Enrique Alonso Medina Fuentes
collection DOAJ
description Background Digital medicine is an important tool in the current healthcare landscape. Fever is an important reason for evaluating patients at first and second levels of care and a frequent symptom of diseases subject to epidemiological surveillance. Objective To evaluate the diagnostic effectiveness of various algorithms in detecting communicable diseases of epidemiological interest in febrile patients at Hospital General Regional No. 1, Cd. Obregón, Sonora. Methods An observational, descriptive, and retrospective study was conducted in a second-level hospital from 1 January 2022 to 31 December 2023, to determine Cohen's kappa and the sensitivity, specificity, positive and negative predictive values, precision and Youden's J index of diagnostic algorithms for 20 communicable diseases with respect to the doctors’ diagnoses. Results Diagnostic algorithms were applied to the data of 909 cases. The sensitivities of Mediktor®, an artificial neural network-based algorithm, a medical diagnostic algorithm and a composite diagnostic algorithm were 11.97%, 64.09%, 69.92% and 99.37%, respectively, and the corresponding specificities were 93.43%, 91.24%, 27.01% and 5.11%, respectively. The neural network-based method yielded the highest Youden's J index. Conclusions The medical diagnostic algorithm had the best sensitivity, whereas the specificity was greater for the two artificial intelligence algorithms.
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spelling doaj-art-1b053c90f22f4ddaa9f9ecf0a08fef282025-08-20T02:37:49ZengSAGE PublishingDigital Health2055-20762025-06-011110.1177/20552076251353292Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in MexicoEnrique Alonso Medina Fuentes0Carmen Alicia Ruíz Valdez1Porfirio Felipe Hernández Bautista2David Alejandro Cabrera Gaytán3Guadalupe Minerva Olivas Fabela4José Alberto Mireles Garza5Olga María Alejo Martínez6Brenda Leticia Rocha Reyes7Alfonso Vallejos Parás8Lumumba Arriaga Nieto9Yadira Pérez Andrade10Leticia Jaimes Betancourt11Gabriel Valle Alvarado12Oscar Cruz Orozco13Mónica Grisel Rivera Mahey14 Hospital General Regional No. 1 Obregón, , Sonora, México Hospital General Regional No. 1 Obregón, , Sonora, México Coordinación de Calidad de Insumos y Laboratorios Especializados, , Mexico City, México Coordinación de Calidad de Insumos y Laboratorios Especializados, , Mexico City, México Unidad Médica de Alta Especialidad No. 2 Centro Médico Nacional del Noroeste Obregón, , Sonora, México Hospital General Regional No. 1 Obregón, , Sonora, México Hospital General de Zona con Medicina Familiar No. 28, Costa Rica, , Sonora, México Unidad Médica de Alta Especialidad No. 8, Hospital de Especialidades. Ciudad Obregón, , Sonora, México Coordinación de Vigilancia Epidemiológica, , Mexico City, México Coordinación de Vigilancia Epidemiológica, , Mexico City, México Coordinación de Vigilancia Epidemiológica, , Mexico City, México Unidad de Medicina Familiar No. 7, , Mexico City, México Coordinación de Vigilancia Epidemiológica, , Mexico City, México Coordinación de Vigilancia Epidemiológica, , Mexico City, México Coordinación de Vigilancia Epidemiológica, , Mexico City, MéxicoBackground Digital medicine is an important tool in the current healthcare landscape. Fever is an important reason for evaluating patients at first and second levels of care and a frequent symptom of diseases subject to epidemiological surveillance. Objective To evaluate the diagnostic effectiveness of various algorithms in detecting communicable diseases of epidemiological interest in febrile patients at Hospital General Regional No. 1, Cd. Obregón, Sonora. Methods An observational, descriptive, and retrospective study was conducted in a second-level hospital from 1 January 2022 to 31 December 2023, to determine Cohen's kappa and the sensitivity, specificity, positive and negative predictive values, precision and Youden's J index of diagnostic algorithms for 20 communicable diseases with respect to the doctors’ diagnoses. Results Diagnostic algorithms were applied to the data of 909 cases. The sensitivities of Mediktor®, an artificial neural network-based algorithm, a medical diagnostic algorithm and a composite diagnostic algorithm were 11.97%, 64.09%, 69.92% and 99.37%, respectively, and the corresponding specificities were 93.43%, 91.24%, 27.01% and 5.11%, respectively. The neural network-based method yielded the highest Youden's J index. Conclusions The medical diagnostic algorithm had the best sensitivity, whereas the specificity was greater for the two artificial intelligence algorithms.https://doi.org/10.1177/20552076251353292
spellingShingle Enrique Alonso Medina Fuentes
Carmen Alicia Ruíz Valdez
Porfirio Felipe Hernández Bautista
David Alejandro Cabrera Gaytán
Guadalupe Minerva Olivas Fabela
José Alberto Mireles Garza
Olga María Alejo Martínez
Brenda Leticia Rocha Reyes
Alfonso Vallejos Parás
Lumumba Arriaga Nieto
Yadira Pérez Andrade
Leticia Jaimes Betancourt
Gabriel Valle Alvarado
Oscar Cruz Orozco
Mónica Grisel Rivera Mahey
Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
Digital Health
title Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
title_full Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
title_fullStr Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
title_full_unstemmed Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
title_short Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico
title_sort effectiveness of physician based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in mexico
url https://doi.org/10.1177/20552076251353292
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