Review Article | Open Access

Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review

    Elijah Kolawole Oladipo

    School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B12 2TT, United Kingdom

    Stephen Feranmi Adeyemo

    Division of Medical Artificial Intelligence, Helix Biogen Institute, Ogbomoso, Oyo, Nigeria

    Glory Jesudara Oluwasanya

    Division of Genome Sciences, Helix Biogen Institute, Ogbomoso, Oyo, Nigeria

    Omotayo Rachael Oyinloye

    Division of Medical Artificial Intelligence, Helix Biogen Institute, Ogbomoso, Oyo, Nigeria

    Olawumi Hezekiah Oyeyiola

    Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Ifeoluwa David Akinrinmade

    Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Olubunmi Ayobami Elutade

    Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Dorcas Olayemi Areo

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Islamiyyah Olamide Hamzat

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Oluwakemi Deborah Olakanmi

    Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Israel Ifeoluwa Ayanronbi

    Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Akinwumi John Akanmu

    Department of Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Faith Opeoluwa Ajekiigbe

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Mary Olawumi Taiwo

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Victor Michael Ogunfidodo

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Christiana Adewumi Adekunle

    Department of Science Laboratory Technology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Precious Oluwadamilola Adeleke

    Department of Biochemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    David Ayo Olubunmi

    Department of Biology, Federal University of Technology, Akure, Ondo, Nigeria

    Precious Ayomide Adeogun

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Emmanuel Oluwagbenga Adejobi

    Department of Human Anatomy, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Samiat Arike Sanni

    Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo, Nigeria

    Akinola Oluwatosin Ajibade

    Department of Molecular Biology, Immunology and Bioinformatics, Adeleke University, Ede, Osun, Nigeria

    Helen Onyeaka

    School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B12 2TT, United Kingdom

    Nnabueze Darlington Nnaji

    Department of Microbiology, University of Nigeria, Nsukka, Nigeria


Received
07 Mar, 2024
Accepted
10 Jun, 2024
Published
11 Jun, 2024

Artificial intelligence has proven to be a game-changing force in health sectors throughout Africa offering prospects for significant development. In sub-Saharan Africa, using AI in healthcare, especially in areas with limited resources, holds valuable promise in transforming and improving healthcare. This article takes an excellent look at how AI is being integrated into the African health sector, as well as examining policy frameworks, challenges and future possibilities. This article begins by giving an overview of AI and highlighting the groundbreaking impact of AI technologies in combating and addressing healthcare challenges that occur within African countries. Ranges from mobile-based diagnostics to precision medicine, artificial intelligence has proven its potential and capabilities in diagnosing, treating and improving healthcare operations by providing solutions to resource constraints and accessibility challenges. However, despite these advancements, there are still obstacles such as infrastructure limitations, concerns about data privacy and gaps in healthcare professionals’ training that hinder the realization of AI’s potential in African healthcare. This article envisions a future where the adoption of artificial intelligence is fully incorporated with community health initiatives and enhanced access to healthcare services for the betterment of healthcare across sub-Saharan African countries. While challenges and barriers like infrastructure and unequal access to healthcare persist, there is a need for governments and stakeholders to prioritize intelligence and digital health as catalysts for improving the healthcare sector in sub-Saharan Africa.

How to Cite this paper?


APA-7 Style
Oladipo, E.K., Adeyemo, S.F., Oluwasanya, G.J., Oyinloye, O.R., Oyeyiola, O.H., Akinrinmade, I.D., Elutade, O.A., Areo, D.O., Hamzat, I.O., Olakanmi, O.D., Ayanronbi, I.I., Akanmu, A.J., Ajekiigbe, F.O., Taiwo, M.O., Ogunfidodo, V.M., Adekunle, C.A., Adeleke, P.O., Olubunmi, D.A., Adeogun, P.A., Adejobi, E.O., Sanni, S.A., Ajibade, A.O., Onyeaka, H., Nnaji, N.D. (2024). Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review. Trends in Medical Research, 19(1), 220-235. https://doi.org/10.3923/tmr.2024.220.235

ACS Style
Oladipo, E.K.; Adeyemo, S.F.; Oluwasanya, G.J.; Oyinloye, O.R.; Oyeyiola, O.H.; Akinrinmade, I.D.; Elutade, O.A.; Areo, D.O.; Hamzat, I.O.; Olakanmi, O.D.; Ayanronbi, I.I.; Akanmu, A.J.; Ajekiigbe, F.O.; Taiwo, M.O.; Ogunfidodo, V.M.; Adekunle, C.A.; Adeleke, P.O.; Olubunmi, D.A.; Adeogun, P.A.; Adejobi, E.O.; Sanni, S.A.; Ajibade, A.O.; Onyeaka, H.; Nnaji, N.D. Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review. Trends Med. Res 2024, 19, 220-235. https://doi.org/10.3923/tmr.2024.220.235

AMA Style
Oladipo EK, Adeyemo SF, Oluwasanya GJ, Oyinloye OR, Oyeyiola OH, Akinrinmade ID, Elutade OA, Areo DO, Hamzat IO, Olakanmi OD, Ayanronbi II, Akanmu AJ, Ajekiigbe FO, Taiwo MO, Ogunfidodo VM, Adekunle CA, Adeleke PO, Olubunmi DA, Adeogun PA, Adejobi EO, Sanni SA, Ajibade AO, Onyeaka H, Nnaji ND. Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review. Trends in Medical Research. 2024; 19(1): 220-235. https://doi.org/10.3923/tmr.2024.220.235

Chicago/Turabian Style
Oladipo, Elijah, Kolawole, Stephen Feranmi Adeyemo, Glory Jesudara Oluwasanya, Omotayo Rachael Oyinloye, Olawumi Hezekiah Oyeyiola, Ifeoluwa David Akinrinmade, Olubunmi Ayobami Elutade, Dorcas Olayemi Areo, Islamiyyah Olamide Hamzat, Oluwakemi Deborah Olakanmi, Israel Ifeoluwa Ayanronbi, Akinwumi John Akanmu, Faith Opeoluwa Ajekiigbe, Mary Olawumi Taiwo, Victor Michael Ogunfidodo, Christiana Adewumi Adekunle, Precious Oluwadamilola Adeleke, David Ayo Olubunmi, Precious Ayomide Adeogun, Emmanuel Oluwagbenga Adejobi, Samiat Arike Sanni, Akinola Oluwatosin Ajibade, Helen Onyeaka, and Nnabueze Darlington Nnaji. 2024. "Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review" Trends in Medical Research 19, no. 1: 220-235. https://doi.org/10.3923/tmr.2024.220.235