Artificial Intelligence (AI) and robotic technologies are no longer futuristic concepts; they are actively reshaping healthcare delivery in South Africa. From precision-guided surgeries to AI-supported diagnostics and patient monitoring tools, these innovations are becoming part of everyday clinical practice. Their impact is significant: improved diagnostic accuracy, faster treatment pathways, and increased capacity across an overstretched health system.
However, these benefits come with meaningful challenges. AI systems rely on high-quality data, reliable infrastructure, and continuous updates. In a country marked by inequality, technology adoption risks widening the gap between well-resourced and under-resourced facilities. Ensuring equal access to innovation must remain a priority.
Training clinical staff presents another practical challenge. AI and robotics require new competencies, and healthcare professionals must be able to interpret machine-generated insights responsibly. Importantly, despite technological advances, accountability still rests firmly with practitioners. South African laws, including the National Health Act and HPCSA rules, confirm that clinicians remain responsible for all decisions made with or without AI support.
When used correctly by trained professionals, AI-enabled diagnostic tools can analyse scans in seconds, flag anomalies earlier, and reduce waiting times for patients who urgently need care. With South Africa facing a severe shortage of radiologists—approximately 1 per 100,000 people—clinicians are beginning to pilot AI for image analysis in radiology and pathology. This capability is only possible thanks to the availability of highly skilled staff who can oversee and interpret these tools effectively.
A recent example can be seen at Charlotte Maxeke Johannesburg Academic Hospital, where AI-powered Voluson Signature 18 ultrasound machines are improving maternal, foetal, and breast cancer imaging. Managed by trained professionals, these tools demonstrate how technology can significantly enhance service quality.
Looking ahead, hospitals need clear internal frameworks to ensure the safe and responsible adoption of emerging technologies. This includes updated consent processes, stronger data governance, thorough validation of tools, and robust oversight committees.
This article draws on insights from Adv Maud Letzler’s webinar on the “Evolving Landscape of Liability and Ethics in South African Healthcare – Navigating the Age of AI and Robotics.”