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

• DOI: https://doi.org/10.22533/at.ed.159472412012

• Palavras-chave: artificial intelligence; quality of life; medicine; lumbar deviation

• Keywords: artificial intelligence; quality of life; medicine; lumbar deviation

• Abstract:

  This 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 such as: Python®, TensorFlow® e 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.