African Journal of
Health Sciences and Technology

FACULTY OF HEALTH SCIENCES AND TECHNOLOGY, COLLEGE OF MEDICINE, UNIVERSITY OF NIGERIA
  • Abbreviation: Afr. J. Health Sci. Technol.
  • Language: English
  • ISSN: 2805-4202
  • DOI: 10.5897/AJHST
  • Start Year: 2019
  • Published Articles: 35

Full Length Research Paper

Knowledge and perceptions of Nigerian healthcare professionals on the adoption of artificial intelligence and machine learning in healthcare

Bolarinde Samuel Olufemi
  • Bolarinde Samuel Olufemi
  • Physiotherapy Department, Federal Medical Centre, Owo, Ondo State, Nigeria
  • Google Scholar
Akinsete Fayokemi Henrietta
  • Akinsete Fayokemi Henrietta
  • Physiotherapy Department, Federal Medical Centre, Owo, Ondo State, Nigeria
  • Google Scholar
Okorocha Lawrencia
  • Okorocha Lawrencia
  • Physiotherapy Department, Federal Medical Centre, Owo, Ondo State, Nigeria
  • Google Scholar
Alli Abiola Rasheed
  • Alli Abiola Rasheed
  • Physiotherapy Department, Federal Medical Centre, Owo, Ondo State, Nigeria
  • Google Scholar
Subulade Abiola Tolulope
  • Subulade Abiola Tolulope
  • Physiotherapy Department, Federal Medical Centre, Owo, Ondo State, Nigeria
  • Google Scholar


  •  Received: 16 August 2024
  •  Accepted: 27 November 2024
  •  Published: 31 March 2025

Abstract

Artificial Intelligence (AI) 's role in healthcare has evolved significantly, transitioning from theoretical research to practical applications that affect various aspects of the healthcare system. The study aims to determine the level of knowledge and perceptions on the adoption of AI and machine learning in healthcare among health professionals. The cross-sectional study recruited 167 healthcare professionals from the Federal Medical Centre, Owo, Ondo State, Nigeria. Ethical approval was obtained from the Ethical Review Committee. Participants’ informed consent was also obtained. Data on knowledge and perception of AI was obtained through a validated self-administered questionnaire. Data obtained were analyzed using descriptive statistics and inferential statistics of Spearman's rho bivariate correlation for relationship among variables. The alpha level was set at 0.05. 65.9% of the healthcare professionals had good knowledge while 25.1% had poor knowledge of AI's usefulness in healthcare. 42.5% disagreed that AI applications in healthcare will replace human healthcare practitioners while 13.8% strongly agreed. Furthermore, 30.5% disagreed that Healthcare providers would lose their jobs following the full adoption of AI in the healthcare system while 22.2% agreed. Most respondents (58.7%) believed that adopting AI in health will facilitate efficient service delivery. However, 58.1% were concerned about the possibility of new ethical challenges due to the deployment of AI in healthcare. Finally, a small significant negative relationship was observed between level of knowledge on AI and each of years of working experience (r = -0.187, p=0.016) and level of education (r = -0.166, p=0.032). This study shows that the majority of health care professionals have good knowledge of AI and machine learning in healthcare. However, majority are concerned about the possibility of new ethical challenges that may result from its adoption into Nigerian health care system.
 
Key words: Artificial intelligence, machine learning, healthcare professional.