Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa

This review discusses the potential of artificial intelligence (AI) to augment surgical care in sub-Saharan Africa (SSA), a region with significant surgical disparities. According to the Global Surgery 2030 initiative, SSA is disproportionately burdened by inadequate access to trained personnel, infrastructure, and economic resources, leading to preventable health outcomes. AI holds great potential throughout the surgical care pathway, from diagnosing and planning interventions via AI-based imaging and predictive algorithms to enabling more precise, minimally invasive procedures using AI-directed robotic platforms and navigation systems. AI can improve postoperative care via the remote monitoring of patients and AI-powered chatbots, which facilitate follow-up visits in low-resource settings. Surgical simulation and education will be reshaped with AI-enhanced virtual reality and AI-assisted web-based platforms, democratizing surgical knowledge. AI can strengthen health systems by more efficiently managing resource allocation, optimizing supply chain management, and analyzing health data. Practical examples exist, with case studies demonstrating successful AI implementations in these resource-constrained settings, including diagnostics, maternal health, and public health. However, the review highlighted several crucial challenges and concerns, including data availability and quality, infrastructure gaps, ethical implications (such as data protection and algorithmic bias), costs and affordability, and the need for robust regulatory frameworks. Targeted stakeholder recommendations highlight the need for investments in the related areas of infrastructure, data management, training, ethical guidelines, and regulatory frameworks. Thus, developing locally relevant datasets, affordable AI tools, additional ethical inquiries, and cost-effectiveness studies will be crucial. Through collective action and equitable implementation, AI can significantly enhance surgical care in SSA, leading to improved health outcomes.

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Publication Details

Journal
Academia Medicine
Published
2025-05-27
DOI
https://doi.org/10.20935/acadmed7735
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa

Osedebamen Hilary Ralph-Okhiria, Ikhide Alonge
1 citations
Academia Medicine
Artificial Intelligence in Healthcare and Education
0.65
article

Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa

Osedebamen Hilary Ralph-Okhiria, Ikhide Alonge
article en
1 citations

Abstract

This review discusses the potential of artificial intelligence (AI) to augment surgical care in sub-Saharan Africa (SSA), a region with significant surgical disparities. According to the Global Surgery 2030 initiative, SSA is disproportionately burdened by inadequate access to trained personnel, infrastructure, and economic resources, leading to preventable health outcomes. AI holds great potential throughout the surgical care pathway, from diagnosing and planning interventions via AI-based imaging and predictive algorithms to enabling more precise, minimally invasive procedures using AI-directed robotic platforms and navigation systems. AI can improve postoperative care via the remote monitoring of patients and AI-powered chatbots, which facilitate follow-up visits in low-resource settings. Surgical simulation and education will be reshaped with AI-enhanced virtual reality and AI-assisted web-based platforms, democratizing surgical knowledge. AI can strengthen health systems by more efficiently managing resource allocation, optimizing supply chain management, and analyzing health data. Practical examples exist, with case studies demonstrating successful AI implementations in these resource-constrained settings, including diagnostics, maternal health, and public health. However, the review highlighted several crucial challenges and concerns, including data availability and quality, infrastructure gaps, ethical implications (such as data protection and algorithmic bias), costs and affordability, and the need for robust regulatory frameworks. Targeted stakeholder recommendations highlight the need for investments in the related areas of infrastructure, data management, training, ethical guidelines, and regulatory frameworks. Thus, developing locally relevant datasets, affordable AI tools, additional ethical inquiries, and cost-effectiveness studies will be crucial. Through collective action and equitable implementation, AI can significantly enhance surgical care in SSA, leading to improved health outcomes.

Academia MedicineVol. 2(2)
University of Benin (NG)
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
0.65
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Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa — Osedebamen Hilary Ralph-Okhiria, Ikhide Alonge · Academia Medicine (2025) | TGRS Research Map | TGRS