Artificial Intelligence in Geriatric Oncology: Opportunities and Barriers to Equitable Access in Nigeria

As Nigeria undergoes demographic transition, the growing proportion of older adults has led to a rising burden of cancer in this age group, highlighting the urgent need for specialized geriatric oncology services. Artificial Intelligence (AI) presents transformative opportunities to improve cancer care through enhanced early detection, individualized treatment planning, and remote patient monitoring. These capabilities are particularly valuable in managing the complex health needs of older adults. This paper explores the dual role of AI in Nigeria's geriatric oncology landscape—as both a promising solution and a source of new challenges. Key barriers include limited digital infrastructure, a shortage of AI-trained healthcare professionals, low digital literacy among older adults, socioeconomic inequalities, and the absence of robust regulatory and ethical frameworks. To address these challenges, the paper outlines a strategic roadmap for equitable AI integration in geriatric oncology. Recommended actions include: developing national digital health and AI governance policies, expanding digital and broadband infrastructure, incorporating AI training into medical education and community outreach, supporting local AI innovation through public-private partnerships, and embedding ethical safeguards to minimize algorithmic bias and ensure inclusivity. By adopting these strategies, Nigeria can leverage AI to improve cancer outcomes for its aging population and build a more inclusive, responsive healthcare system.

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Publication Details

Journal
Journal of Medicine and Health Research
Published
2025-07-19
DOI
https://doi.org/10.56557/jomahr/2025/v10i29520
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Geriatric Oncology: Opportunities and Barriers to Equitable Access in Nigeria

Aliyu O Olaniyi, Paul-Miki Raluchukwu Ibekwe, Great Akachi Nwankire-Jonathan
Journal of Medicine and Health Research
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence in Geriatric Oncology: Opportunities and Barriers to Equitable Access in Nigeria

Aliyu O Olaniyi, Paul-Miki Raluchukwu Ibekwe, Great Akachi Nwankire-Jonathan
article en

Abstract

As Nigeria undergoes demographic transition, the growing proportion of older adults has led to a rising burden of cancer in this age group, highlighting the urgent need for specialized geriatric oncology services. Artificial Intelligence (AI) presents transformative opportunities to improve cancer care through enhanced early detection, individualized treatment planning, and remote patient monitoring. These capabilities are particularly valuable in managing the complex health needs of older adults. This paper explores the dual role of AI in Nigeria's geriatric oncology landscape—as both a promising solution and a source of new challenges. Key barriers include limited digital infrastructure, a shortage of AI-trained healthcare professionals, low digital literacy among older adults, socioeconomic inequalities, and the absence of robust regulatory and ethical frameworks. To address these challenges, the paper outlines a strategic roadmap for equitable AI integration in geriatric oncology. Recommended actions include: developing national digital health and AI governance policies, expanding digital and broadband infrastructure, incorporating AI training into medical education and community outreach, supporting local AI innovation through public-private partnerships, and embedding ethical safeguards to minimize algorithmic bias and ensure inclusivity. By adopting these strategies, Nigeria can leverage AI to improve cancer outcomes for its aging population and build a more inclusive, responsive healthcare system.

Journal of Medicine and Health ResearchVol. 10(2)
Federal University of Technology Owerri (NG), University of Massachusetts Amherst (US), Stepping Hill Hospital (GB)
Openalex Percentile: Top 88%
Artificial Intelligence in Healthcare and Education
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Artificial Intelligence in Geriatric Oncology: Opportunities and Barriers to Equitable Access in Nigeria — Aliyu O Olaniyi, Paul-Miki Raluchukwu Ibekwe, et al. · Journal of Medicine and Health Research (2025) | TGRS Research Map | TGRS