Exploring Perceptions and Anticipated Impacts of AI in Healthcare: ?A Study in Anyigba? Kogi State, Nigeria.

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@article{1709353,
      author = {Audu Mohammed , Cosmas Victor , Sheidu Danjuma Asaka, Ph.D  , Kashim Akor, Ph.D, MODU, Augustine Amkpita; Akpata, Grace Oremeyi},
      title = {Exploring Perceptions and Anticipated Impacts of AI in Healthcare: ?A Study in Anyigba? Kogi State, Nigeria.},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {1405-1418},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709353.pdf},
      abstract = {The integration of Artificial Intelligence (AI) into healthcare systems is transforming the landscape of medical diagnosis, treatment, and service delivery across the globe. However, in low-resource settings such as Anyigba, Kogi State, Nigeria, limited infrastructure, low digital literacy, and socio-cultural dynamics may shape the perception and reception of AI innovations. This study investigates the perceptions and anticipated impact of AI in healthcare delivery among residents of Anyigba. The study employed a mixed-methods approach, incorporating both survey questionnaires and semi-structured interviews to collect data from healthcare professionals, community members, and policy actors. Findings revealed a limited but growing awareness of AI applications in healthcare. Many respondents acknowledged AI?s potential to improve diagnostics, reduce waiting times, and enhance access to specialized care. However, there were prevalent concerns about job displacement, loss of human empathy in treatment, data privacy, affordability, and the risk of alienating traditional health practices. The study also found that the level of education and exposure to technology significantly influenced respondents? perceptions of AI. While medical professionals generally welcomed AI as a supportive tool, some community members feared it might replace human doctors entirely. This research concludes that successful implementation of AI in healthcare within the Anyigba context must be inclusive, culturally sensitive, and supported by public education, ethical regulation, and infrastructure development. It recommends collaborative efforts among government agencies, healthcare providers, and AI developers to design systems that respond to the socio-economic realities and healthcare needs of local populations.},
      keywords = {Artificial Intelligence (AI); Healthcare Delivery; Perceptions; Low-Resource       Settings; Socio-Cultural Dynamics},
      month = {June},
  }