African Journal of
Medical and Health Sciences

OFFICIAL PUBLICATION OF THE FEDERAL TEACHING HOSPITAL, ABAKALIKI, NIGERIA
  • Abbreviation: Afr. J. Med. Health Sci.
  • Language: English
  • ISSN: 2384-5589
  • DOI: 10.5897/AJMHS
  • Start Year: 2017
  • Published Articles: 63

Article in Press

Perception of Nigerian Radiographers on Artificial Intelligence in Radiography Practice

Michael Sunday Okpaleke, Uche nathaniel Eja-egwu, Njiti Mohammed

  •  Received: 04 February 2022
  •  Accepted: 20 June 2022
Background: Current advances in radiography imaging globally necessitate the concept of Artificial Intelligence (AI) in Radiography practice in Nigeria but the attitude and knowledge of Radiographers to AI in Nigeria have not been fully documented. The purpose of the study was to access the perception of radiographers on AI in radiography practice in Nigeria. Methods: The cross-sectional prospective research survey was carried out using questionnaires. A convenient sample of 118 out of 168 radiographers aged 18-76 years in three Nigerian cities who consented and met the inclusion criteria participated in the study. The items in the questionnaire were used to obtain data on demography, knowledge, and attitude of radiographers on the deployment of artificial intelligence in Radiography practice. The items in the questionnaire were reviewed by experts, tested for reliability and validity before being uploaded to online radiography social media platforms using Google forms. Descriptive and inferential statistics were used for data analysis at a 5% level of significance using statistical package for social sciences (SPSS) version 23. RESULTS: 73 (61.9%) of radiographers have basic knowledge of AI while 89 (75.4%) of radiographers will support the deployment of AI in health facilities in Nigeria. Few radiographers 11 (9.3%) were making personal development efforts towards AI and were not afraid of job losses due to deployment of AI. Fear of job losses is common among radiography interns 32(74.4%) and clinical radiographers 27(62.2%).There is 68.6% positive perception of AI and support for deployment of AI is the only significant predictor of knowledge of AI. CONCLUSION: There is a general basic positive perception of AI among Nigerian Radiographers but this is limited by fear of job losses. There is need to create more awareness of AI in radiography practice and incorporate AI in the training curriculum of radiography students.

Keywords: perception. Nigerian radiographers, artificial intelligence, radiography practice