Article citationsMore>>

Alharbi, R.H., Alshaye, M.B., Alkanhal, M.M., Alharbi, N.M., Alzahrani, M.A. and Alrehaili, O.A. (2020) Deep Learning Based Algorithm for Automatic Scoliosis Angle Measurement. 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, 19-21 March 2020, 1-5.
https://doi.org/10.1109/ICCAIS48893.2020.9096753

has been cited by the following article:

• TITLE: Measuring the Level of Knowledge and Awareness about Scoliosis in Saudi Arabia

  AUTHORS: Doaa Mohammad Alashgar, Noorah Saleh Al-Sowayan

  KEYWORDS: Scoliosis, Awareness, Knowledge, Saudi, Cross-Sectional

  JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.14 No.9, September 22, 2023

  ABSTRACT: Background: Scoliosis is a serious condition occurring in 1% to 4% of the population. This study was conducted and designed to educate society about scoliosis and measure the knowledge and awareness about it. Methods: This was a cross-sectional study conducted on members of the Saudi Society who have consented to participate in this research between the 8th of January and 5th of February 2023. Results: A total of 427 people agreed to participate in the study. The highest percentage of the participants was female 69.1%. About 41% participants out of 427 were in the age group 18-25 years. Most of the participants were from the Middle Region. (71.9%) of participants were unfamiliar with scoliosis, while (72.1%) had no prior knowledge of the condition. Conclusion: This study indicates insufficient awareness and knowledge about scoliosis in Saudi Arabia. Therefore, further studies are needed to raise awareness about scoliosis and help people to learn more about this condition.