DETECTION OF LUMBAR POSTURAL DEVIATIONS, THE USE OF ARTIFICIAL NEURAL NETWORKS STRUCTURED IN AI: AN INSTRUMENT FOR PROMOTING THE QUALITY OF LIFE OF MEDICAL PROFESSIONALS (Atena Editora)

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MetadadosDescriçãoIdioma
Autor(es): dc.contributor.authorOLIVEIRA, JOSÉ RICARDO LOURENÇO DE-
Autor(es): dc.contributor.authorJUNIOR, GUANIS DE BARROS VILELA-
Autor(es): dc.contributor.authorOLIVEIRA, HELEISE FARIA DOS REIS DE-
Data de aceite: dc.date.accessioned2024-01-19T01:38:45Z-
Data de disponibilização: dc.date.available2024-01-19T01:38:45Z-
Data de envio: dc.date.issued2024-01-16-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/741456-
Resumo: dc.description.abstractThis study portrays the importance of Human Movement Sciences (CMH) and Artificial Intelligence (AI) in detecting postural deviations, such as scoliosis, and their impacts on quality of life. Employing a pre-diagnostic descriptive methodology, the work developed and validated an AI algorithm to identify abnormalities in the lumbar spine using X-ray images. From an initial set of 2897 images, the study expanded the dataset to 579400 images, employing technologies advanced technologies such as Python®, TensorFlow® and OpenCV®. The Neural Network architecture was rigorously prepared, trained and tested, with the model's effectiveness confirmed by robust metrics. The results highlight the efficiency of AI in diagnostic medicine, highlighting the technology's potential to advance medical diagnosis and open new paths for future clinical innovations focusing on this professional's quality of life.pt_BR
Idioma: dc.language.isoenpt_BR
Palavras-chave: dc.subjectARTIFICIAL NEURAL NETWORKSpt_BR
Título: dc.titleDETECTION OF LUMBAR POSTURAL DEVIATIONS, THE USE OF ARTIFICIAL NEURAL NETWORKS STRUCTURED IN AI: AN INSTRUMENT FOR PROMOTING THE QUALITY OF LIFE OF MEDICAL PROFESSIONALS (Atena Editora)pt_BR
Tipo de arquivo: dc.typelivro digitalpt_BR
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