4 岁以下儿童阑尾炎预测量表。

Q3 Medicine

Revista de la Facultad de Ciencias Medicas de Cordoba Pub Date : 2024-03-27 DOI:10.31053/1853.0605.v81.n1.44316

Dayhana Arango Cárdenas, Jorge Andrés Castrillón Lozano, Ximena Areiza Ocampo

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引用次数: 0

摘要

儿科急性阑尾炎的病理表现多种多样，目前采用各种标准或预测量表进行诊断，但事实证明，这些标准或预测量表不够准确，无法实现标准化。不过，人们已经创造了一些方法来建立更准确的诊断，人工智能就是其中之一，通过不同的算法，人工智能能够显示患者的病情和最合适的干预措施，从而减少不必要的干预措施，进而减少可能出现的相关并发症。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[Predictive appendicitis scale for children under 4 years of age: Is it possible to apply artificial intelligence?]

Acute appendicitis in the pediatric population is a pathology of heterogeneous presentation that is currently diagnosed using various criteria or predictive scales, which have proven not to be sufficiently accurate to be standardized, however, methods have been created to establish a more accurate diagnosis, an aspect that has been provided by artificial intelligence, which through different algorithms has the ability to show the patient's condition and the most appropriate intervention for this, thus reducing the rate of unnecessary interventions and therefore possible related complications.

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来源期刊

Revista de la Facultad de Ciencias Medicas de Cordoba Medicine-Medicine (all)

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

20 weeks

期刊介绍： The Journal of the Faculty of Medical Sciences is a scientific publication of the Secretariat of Science and Technology of the Faculty of Medical Sciences of the National University of Cordoba. Its objective is to disseminate and promote research work related to Medical and Biological Sciences. It publishes scientific works of national and international professionals on different topics related to health sciences from the field of medicine, nursing, kinesiology, diagnostic imaging, phonoaudiology, nutrition, public health, chemical sciences, dentistry and related.