review · Trends in Medical Research
Artificial intelligence offers significant opportunities to transform healthcare delivery across Africa, especially within resource-constrained environments in sub-Saharan Africa. Technological applications range from mobile-based diagnostic tools to precision medicine, assisting with diagnosis, patient treatment, and operational efficiency to tackle persistent accessibility challenges. However, several barriers impede the widespread implementation of these digital tools. Key obstacles include infrastructure limitations, data privacy issues, and notable training gaps among healthcare professionals. Addressing these structural barriers requires deliberate intervention from regional governments and sector stakeholders to prioritise digital health initiatives. Overcoming these hurdles could enable artificial intelligence to integrate closely with community health programmes, thereby expanding access to essential medical services across the continent.
Sub-Saharan Africa continues to face severe resource constraints and unequal access to clinical care. Deploying artificial intelligence, particularly via mobile diagnostics, could bring medical expertise directly to underserved populations. Understanding the practical barriers, including infrastructure and workforce readiness, ensures that public health investments are targeted effectively to improve everyday healthcare delivery.
Potential commercial applications centre on mobile-based diagnostics, precision medicine software, and clinic operational tools tailored for resource-limited settings. Target users encompass frontline healthcare workers, laboratory staff, and community health programmes. Because the abstract describes an overview of sector-wide impacts and constraints rather than testing a specific device, practical deployment across the region appears constrained by foundational infrastructure and data privacy challenges.
AI-generated from the published abstract. Always read the original work before citing.
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.
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DOI: 10.3923/tmr.2024.220.235
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