Results: 58

Automatic detection and classification of disease in citrus fruit and leaves using a customized CNN based model

India's commercial advancement and development depend heavily on agriculture. A common fruit grown in tropical settings is citrus. A professional judgment is required while analyzing an illness because different diseases have slight variati ons in their symptoms. In order to...

Diagnóstico da retinopatia diabética por inteligência artificial por meio de smartphone

Rev. bras. oftalmol; 83 (), 2024
RESUMO Objetivo: Obter imagens de fundoscopia por meio de equipamento portátil e de baixo custo e, usando inteligência artificial, avaliar a presença de retinopatia diabética. Métodos: Por meio de um smartphone acoplado a um dispositivo com lente de 20D, foram obtidas imagens de fundo de olhos de ...

Red neural artificial para predecir factores de riesgo asociados a complicaciones postoperatorias secundarias al tratamiento del neumotórax

Rev. colomb. cir; 38 (3), 2023
Introducción. Debido a la ausencia de modelos predictivos estadísticamente significativos enfocados a las complicaciones postoperatorias en el manejo quirúrgico del neumotórax, desarrollamos un modelo, utilizando redes neurales, que identifica las variables independientes y su importancia para reduci...

Use of artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer

Mastology (Online); 33 (), 2023
:Breast cancer is the object of thousands of studies worldwide. Nevertheless, few tools are available to corroborate prediction of response to neoadjuvant chemotherapy. Artificial intelligence is being researched for its potential utility in several fields of knowledge, including oncology. The developme...

Application analysis of digital neural network-based data mining method in maximizing the performance of sports training

ABSTRACT Introduction: In today's rapid development of science and technology, digital network data mining technology is developing as fast as the expansion of the frontiers of science and technology allows, with a very broad application level, covering most of the civilized environment. However, there ...

Un sistema experto para el diagnóstico del trastorno depresivo basado en redes neuronales
Expert System for the Diagnosis of Depressive Disorder Based on Neural Networks

Rev. cuba. inform. méd; 14 (2), 2022
Este trabajo propone un sistema de diagnóstico del trastorno depresivo para el Centro de Salud Juan Pablo II. En este centro los especialistas aplican como método de evaluación el cuestionario BDI-II (Inventario de Depresión de Beck), que limita el proceso de diagnóstico porque solo contempla la sum...

Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

Biosci. j. (Online); 38 (), 2022
The biophysical characteristics of vegetative canopies, such as biomass, height, and canopy diameter, are of paramount importance for the study of the development and productive behavior of crops. Faced with a scarcity of studies aimed at estimating these parameters, the objective of this study was to ev...

A comparative study of visual assessment between dry bone, 2-dimensional photograph, and deep learning methods in sex classification on the auricular area of the os coxae in a Thai population

Int. j. morphol; 40 (1), 2022
SUMMARY: Sex assessment is an important process in forensic identification. A pelvis is the best skeletal element for identifying sexes due to its sexually dimorphic morphology. This study aimed to compare the accuracy of the visual assessment in dry bones as well as 2D images and to test the accuracy of...

The early warning model of track and field sports based on rbf neural network algorithm

Rev. bras. med. esporte; 27 (5), 2021
ABSTRACT Background: Athletics plays a very important role in competitive sports. The strength of track and field directly represents the level of a country's sports competition. Objective: This work aimed to study the track and field sports forewarning model based on radial basis function (RBF) neural...