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Alternative Lead ECG Placements
(Wiley, 2026)
Morales‐Arteaga, José Luis
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Meghdadi, Amin
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Wu, Derek
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Bhuiyan, Abdullah
;
Langleben, Nicole
Electrocardiography (ECG) is a critical diagnostic tool for identifying cardiac conditions. While standard lead positions are widely used to ensure diagnostic accuracy, alternative lead placements have been developed to address specific clinical scenarios. These alternative configurations can overcome physical or technical challenges, enhance rhythm assessment, improve signal quality, and provide greater specificity for certain conditions, ultimately enabling more personalized diagnostic strategies. This paper examines the clinical significance of alternative ECG lead positions, highlighting their advantages, limitations, and potential applications in various clinical settings. ©The authors ©Wiley.
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application
(MDPI AG, 2025)
Rodríguez Aguilar, Román
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Marmolejo-Saucedo, José Antonio
;
Köse, Utku
Artificial intelligence (AI) has already played a significant role in the healthcare sector, particularly in image-based medical diagnosis. Deep learning models have produced satisfactory and useful results for accurate decision-making. Among the various types of medical images, magnetic resonance imaging (MRI) is frequently utilized in deep learning applications to analyze detailed structures and organs in the body, using advanced intelligent software. However, challenges related to performance and data privacy often arise when using medical data from patients and healthcare institutions. To address these issues, new approaches have emerged, such as federated learning. This technique ensures the secure exchange of sensitive patient and institutional data. It enables machine learning or deep learning algorithms to establish a client–server relationship, whereby specific parameters are securely shared between models while maintaining the integrity of the learning tasks being executed. Federated learning has been successfully applied in medical settings, including diagnostic applications involving medical images such as MRI data. This research introduces an analytical intelligence system based on an Internet of Medical Things (IoMT) framework that employs federated learning to provide a safe and effective diagnostic solution for brain tumor identification. By utilizing specific brain MRI datasets, the model enables multiple local capsule networks (CapsNet) to achieve improved classification results. The average accuracy rate of the CapsNet model exceeds 97%. The precision rate indicates that the CapsNet model performs well in accurately predicting true classes. Additionally, the recall findings suggest that this model is effective in detecting the target classes of meningiomas, pituitary tumors, and gliomas. The integration of these components into an analytical intelligence system that supports the work of healthcare personnel is the main contribution of this work. Evaluations have shown that this approach is effective for diagnosing brain tumors while ensuring data privacy and security. Moreover, it represents a valuable tool for enhancing the efficiency of the medical diagnostic process. ©The authors ©MDPI.
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Percepción de los pediatras mexicanos sobre las limitaciones para obtener un diagnóstico oportuno en pacientes con tumores sólidos
(Graphimedic, 2025)
Abaunza-Tapia, Carlos G.
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Rendón-Macías, Mario Enrique
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Canseco-Herrera, Mariana
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Villasís-Keever, Miguel Ángel
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Alaníz-Manjarrez, Ian Carkis J.
Introducción: en los países de ingresos bajos y medianos, la mortalidad por cáncer infantil continúa siendo alta. El objetivo del estudio es evaluar la percepción de los pediatras mexicanos sobre las limitaciones y áreas de oportunidad para obtener un diagnóstico oportuno de los tumores sólidos en entornos de atención primaria. Material y métodos: encuesta validada, que fue aplicada a través de Internet; la encuesta consta de 20 preguntas sobre las limitaciones y las áreas de oportunidad para obtener un diagnóstico oportuno en niños y adolescentes con tumores sólidos. Resultados: 194 pediatras respondieron la encuesta; la mayoría estuvo de acuerdo en los factores considerados significativos en el retraso en el diagnóstico. Específicamente, el 74-89% de los participantes coincidió en que una baja sospecha clínica, signos y síntomas inespecíficos y una deficiente comunicación con pacientes adolescentes fueron factores clínicos limitantes. El 72-76% consideró que los reducidos tiempos de las consultas, la falta de estudios de imagen, la poca cobertura de los programas de seguridad social y los problemas familiares limitan el diagnóstico oportuno. En las áreas de oportunidad, los pediatras concuerdan que es importante realizar maniobras específicas (revisión del reflejo rojo, palpación testicular y búsqueda de masas abdominales), y solicitar estudios de imagen cuando se detectan datos clínicos específicos. Conclusiones: el presente estudio identifica las limitaciones que perciben los pediatras para diagnosticar oportunamente a pacientes pediátricos con tumores sólidos. Los resultados pueden servir de base para implementar estrategias de capacitación en médicos de primer contacto. ©Los autores ©Revista Mexicana de Pediatría.
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Tiempo al diagnóstico y de inicio de tratamiento oncológico en pacientes pediátricos con tumores sólidos
(Graphimedic, 2025)
Rendón-Macías, Mario Enrique
;
Yasmani Pozo-Almanza
Introducción: el diagnóstico oncológico suele ser difícil y la prontitud del tratamiento influye en su pronóstico. Objetivo: comparar los tiempos requeridos para la confirmación diagnóstica e inicio del tratamiento oncológico en pacientes pediátricos con tumores sólidos, según el grado de sospecha al envío y sus condiciones clínicas. Material y métodos: se estudiaron 175 pacientes con diagnóstico de un tumor sólido, atendidos en un centro de tercer nivel de atención. Se incluyeron pacientes con sospecha, con diagnóstico histopatológico, o bien, pacientes que llegaron por un diagnóstico no oncológico. Se estimaron los tiempos para la referencia, para la confirmación diagnóstica (Lag-t-Dx) y para el inicio del tratamiento oncológico (Lag-t-Tx). Resultados: sesenta por ciento tuvieron tumores del sistema nervioso central, linfomas o tumores óseos; el 55.4% llegó en estadios III-IV. Del total, el 78.9% tenía sospecha de cáncer, 13.7% con diagnóstico histopatológico y 7.4% otro diagnóstico. Dieciocho se encontraban críticamente enfermos (10.3%). La mediana de días de referencia fue de dos (0-42 días), el Lag-t-Dx de cinco (0-45) y el Lag-t-Tx de ocho (2-49); los tiempos fueron más prolongados en pacientes con un diagnóstico de ingreso no oncológicos (Lag-t-Dx 13 días, Lag-t-Tx 15 días, p = 0.004 y p = 0.049). Lag-t-Dx no difirió con respecto al estadio, pero el Lag-t-Tx fue mayor en pacientes graves. Conclusiones: en general, se comprobó que los tiempos para establecer diagnóstico y tratamiento son similares a otros países, pero depende del nivel de sospecha y de las condiciones clínicas del paciente. ©Los autores ©Revista Mexicana de Pediatría.
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Entidades de la gestación imitadoras de preeclampsia: revisión narrativa
(Sociedad de Obstetricia y Ginecología de Venezuela, 2025)
Santiago-Sanabria, Leopoldo
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Gal Or , Ory
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Sanabria-Villegas, Luz del Carmen
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Paz-Carranza, Julio César
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Hernández-Angulo, Gerlin Eduardo
Los desórdenes hipertensivos del embarazo continúan siendo un problema de salud pública a nivel global, causando secuelas a largo plazo, tanto en la madre como en el recién nacido. Sin embargo, existe un grupo de entidades que pueden imitar preeclampsia, eclampsia y síndrome HELLP (hemólisis, enzimas hepáticas elevadas, trombocitopenia), dado que comparten similitudes en su fisiopatología, como la presencia de vasoespasmo, activación o destrucción plaquetaria, trombosis microvascular, disfunción endotelial o perfusión tisular disminuida. La mayoría de estas son consideradas potencialmente emergencias obstétricas que pueden desarrollarse o exacerbarse durante la gestación o en el periodo posparto. El objetivo de la presente revisión es describir estos desórdenes, haciendo énfasis en las características clínicas que permitan realizar un adecuado diagnóstico diferencial con la preeclampsia, síndrome HELLP y eclampsia, ya que es imprescindible para brindar un tratamiento oportuno y dirigido del cual se obtenga un impacto positivo para la madre y el recién nacido. ©Los autores © Revista de Obstetricia y Ginecología de Venezuela © Sociedad de Obstetricia y Ginecología de Venezuela. Hypertensive disorders of pregnancy continue to be a global public health problem, causing long-term consequences for both mother and newborn. However, there are a group of conditions that can mimic preeclampsia, eclampsia, and HELLP (hemolysis, elevated liver enzymes, thrombocytopenia) syndrome, given that they share similarities in their pathophysiology, such as vasospasm, platelet activation or destruction, microvascular thrombosis, endothelial dysfunction, or decreased tissue perfusion. Most of these are considered potential obstetric emergencies that can develop or exacerbate during pregnancy or in the postpartum period. The objective of this review is to describe these disorders, emphasizing the clinical characteristics that allow for an adequate differential diagnosis with preeclampsia, HELLP syndrome, and eclampsia, as this is essential for providing timely and targeted treatment that has a positive impact on the mother and newborn. ©The authors © Revista de Obstetricia y Ginecología de Venezuela © Sociedad de Obstetricia y Ginecología de Venezuela.
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Experiencias en la docencia de historia de la educación, en la Facultad de Pedagogía de la Universidad Panamericana
(Universidad Panamericana, Escuela de Pedagogía, 2017-11-11)
Moreno Valle Suárez, Lucina
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Universidad Panamericana. Campus Ciudad de México. Escuela de Pedagogía
History’s teaching must answer to future pedagogue’s necessity. He should have to make himself the question: What is the interest for bachelor’s degree students to dedicate time to education history? This question has been proposed many times through nineteen years long of docent work and especially when they review the studies plan. Finally, it is possible to conclude that a pedagogue needs to know the history for the integer and effective diagnosis according to reality into he is immersed. Is a common phrase between pedagogues to say that history serves for «they do not pull someone’s leg», since «there is not new something below the sun» as the folk wisdom says, inspired in written documents previous to Christ (Eclesiastés 1, 9-11).
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An Explainable Tool to Support Age-related Macular Degeneration Diagnosis
(2022)
Martinez-Villaseñor, Lourdes
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Miralles-Pechuán, Luis
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Ponce, Hiram
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Martínez Velasco, Antonieta Teodora
Artificial intelligence and deep learning, in particu-lar, have gained large attention in the ophthalmology community due to the possibility of processing large amounts of data and dig-itized ocular images. Intelligent systems are developed to support the diagnosis and treatment of a number of ophthalmic diseases such as age-related macular degeneration (AMD), glaucoma and retinopathy of prematurity. Hence, explainability is necessary to gain trust and therefore the adoption of these critical decision support systems. Visual explanations have been proposed for AMD diagnosis only when optical coherence tomography (OCT) images are used, but interpretability using other inputs (i.e. data point-based features) for AMD diagnosis is rather limited. In this paper, we propose a practical tool to support AMD diagnosis based on Artificial Hydrocarbon Networks (AHN) with different kinds of input data such as demographic characteristics, features known as risk factors for AMD, and genetic variants obtained from DNA genotyping. The proposed explainer, namely eXplainable Artificial Hydrocarbon Networks (XAHN) is able to get global and local interpretations of the AHN model. An explainability assessment of the XAHN explainer was applied to clinicians for getting feedback from the tool. We consider the XAHN explainer tool will be beneficial to support expert clinicians in AMD diagnosis, especially where input data are not visual. © 2022 IEEE.
Scopus© Citations 4 19 1
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Longitudinal Analysis of Participants in The KEEP Mexico's Chronic Kidney Disease Screening Program
(2013)
Obrador, Gregorio
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Olvera, Nadia
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Gutiérrez, Verónica
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Contreras, Daniela
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Reyes, Rebeca
Background and aims: The Kidney Early Evaluation Program (KEEP) is a free screening and educational program aimed at detecting chronic kidney disease (CKD) among adult individuals who are at high-risk (those with diabetes, hypertension, or family history of these conditions or CKD). Confirmation of CKD diagnosis requires persistence of albuminuria or estimated GFR <60 mL/min for at least 3 months. We undertook this study to determine in a follow-up KEEP done at least 1 year after a baseline KEEP the following: 1) CKD incidence among individuals who initially tested negative for CKD, 2) transitions between CKD stages among individuals who initially tested positive for CKD. Methods: A random sample of KEEP participants was invited to participate in a follow-up KEEP between 2008 and 2010. Paired analyses were conducted to compare CKD stages between baseline and follow-up KEEP. Copyright © 2013 IMSS. Published by Elsevier Inc. All rights reserved.
Scopus© Citations 10 49 2

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