International Journal of Clinical & Medical Surgery
ISSN: 3069-2067 | DOI: 10.64030/3069-2067
Nnenna Favour Onuzuruike, Konstantin Koshechkin, Oluwatoyin Rachael Taiwo, Oluwasetemi Ojedayo Ojekunle, Ada Glory Chukwu, Chisom Peace Ezeamaku-Humphrey, Patrick Chidera Gift and ThankGod Chimenem Kalagbor
The global healthcare system currently undergoes significant challenges that negatively affect patient experience such as the rising costs of healthcare, the manual processes of traditional healthcare that leads to wastage of time and increases waiting time for sick patients, limited number of healthcare practitioners and doctors, and the rising incidents of chronic diseases underwhelming the capacity of healthcare organisations globally. While efforts are currently underway to address these challenges, reports predict the increasing impact of these challenges in the future. However, as current applications of AI in healthcare have shown, the integration of AI algorithms in healthcare practices has the potential to drastically address these challenges in a manner that will positively increase the overall experience of patients in global healthcare systems. The primary aim of the research is to examine the current landscape of AI integration in healthcare and possible pathway for the future. Using systematic literature review, it examines scholarly literatures from reputable journals and databases. The research finds that while there are ethical and integration challenges plaguing the application of AI in healthcare, AI technologies are currently being used in different facets of healthcare such as imaging, diagnostics, predictive analytics, and recommendations. The research recommends the training of healthcare practitioners and doctors on the mechanisms of AI, the creation of uniform regulations and regulatory agencies to create standards in the industry, and strict adherence to ethical guidelines before applying AI to healthcare.