Sivasubramanian Shekar, Raval Alpan
Wadhwani Institute for Artificial Intelligence, New Delhi 110024, India.
Health Aff Sch. 2025 May 7;3(5):qxaf097. doi: 10.1093/haschl/qxaf097. eCollection 2025 May.
The adoption and scaling of technology in public health settings in the Global South have traditionally been challenging. The introduction of artificial intelligence (AI) technology has exacerbated the challenges, but AI also brings with it exciting new frontiers. India is a large, diverse country that encapsulates well the challenges and opportunities for AI in the Global South. Here, we describe the landscape for AI as a force for driving public health outcomes in India and the critical role in this played by technology platforms. We give examples of our own work in Tuberculosis and infant health to illustrate how AI can be fruitfully integrated into large-scale platforms in order to meaningfully address gaps in public health. Finally, we point out the importance of learning lessons from early deployments on these platforms, despite the varying levels of AI maturity and readiness across modalities.
在全球南方的公共卫生环境中，技术的采用和推广一直具有挑战性。人工智能（AI）技术的引入加剧了这些挑战，但同时也带来了令人兴奋的新领域。印度是一个幅员辽阔、多元化的国家，很好地体现了全球南方在人工智能方面所面临的挑战和机遇。在此，我们描述了人工智能作为推动印度公共卫生成果的一股力量的现状，以及技术平台在其中所发挥的关键作用。我们列举了我们在结核病和婴儿健康方面的工作实例，以说明人工智能如何能够有效地融入大规模平台，从而切实解决公共卫生领域的差距。最后，我们指出，尽管不同模式下人工智能的成熟度和准备程度各不相同，但从这些平台的早期部署中吸取经验教训非常重要。
