Adverse events related to gastrointestinal endoscopic procedures in pediatric patients under anesthesia care and a predictive risk model (AEGEP Study)

Use of artificial intelligence in paediatric anaesthesia: a systematic review

“…Machine learning was the most represented with 38 included studies describing its use, 13 23 28 29 31 32 , 34 , 35 , 36 , 38 , 39 , 40 , 42 44 46 47 , 49 , 50 , 51 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 70 whereas two applications incorporated the use of fuzzy logic 21 , 22 and only one study described the use of each of natural language processing 23 and computer vision. 13 Many branches of machine learning were discussed, including regression models, 29 45 46 49 50 51 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 decision trees, 23 , 33 , 34 , 35 expert systems, …”

“… 13 Many branches of machine learning were discussed, including regression models, 29 45 46 49 50 51 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 decision trees, 23 , 33 , 34 , 35 expert systems, 59 K-means classifiers, 35 K-nearest neighbours, 29 , 44 Bayesian approaches, 29 neural networks, 23 , 25 , 34 , 45 random forest models, 23 29 31 , 45 , 46 , 47 and support vector machines. 34 , 45 , 70 Regression models were the most commonly described, with one study describing a linear regression model, 50 23 studies describing logistic regression models, 29 36 46 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , …”

“…33 Shim and colleagues 45 Jiao and colleagues 23 Chiesa and colleagues 46 Safranek and colleagues 47 Hu and colleagues 29 Ward and colleagues 31 Regression: Linear, Logistic, Elastic Net, LASSO Characterising the strength of the relationship between a dependent variable and one or more explanatory variables. 48 Shim and colleagues 45 Zhang and colleagues 49 Guevara and colleagues 50 Agostoni and colleagues 51 Alassaf and Reitsma 52 Ali and colleagues 53 Ammer and colleagues 54 Ariza and colleagues 55 Cheon and colleagues 56 Chiesa and colleagues 46 Fishman and colleagues 57 Hino and colleagues 58 Hu and colleagues 29 Kawaguchi and colleagues 59 Kim and colleagues 60 Lee and colleagues 61 Lin and colleagues 62 Nafiu and colleagues 63 Nasr and colleagues 64 Packiasabapathy and colleagues 65 Spencer and colleagues 66 Tao and colleagues 67 Vlasov 68 Ward and colleagues 31 Support vector machines Classifies data by creating a decision boundary, known as the hyperplane, that is orientated as far as possible from the closest data points from each observed class of data. 69 Galvez and colleagues 34 Shim and colleagues 45 Chini and colleagues 70 …”

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“…Aquí se encontró a la bradicardia como un incidente frecuente, se presentó en 9 de los 67 pacientes, con un porcentaje de 6%. 8,9 En un artículo se encontró que las complicaciones más frecuentes fueron hipoxemia (1.82%), broncoespasmo (1.14%) y laringoespasmo (0.91%), los factores de riesgo asociados para presentar estar complicaciones fueron edad menor de un año, infecciones del tracto respiratorio superior y bajo peso para la edad 5 .…”

“…En este trabajo se revisaran los principales incidentes. 1,2,3 La seguridad en el manejo anestésico exitoso depende de conocer las características fisiológicas, anatómicas y farmacológicas de cada Múltiples estudios han analizado los factores perioperatorios relacionados con acontecimientos adversos en niños que requieren procedimientos endoscópicos gastrointestinales en entornos en los que la sedación profunda es la técnica anestésica preferida durante la anestesia general, pero no para el caso contrario 5 .…”