Review on Transformative Impact of Intelligence of Artificial-based Technologies on Public Healthcare

This review focuses on the revolutionary impact of Intelligence of Artificial (AI) on public healthcare, discussing how it having the capacity to change diagnostics, tailor therapies and substantially improve operational management both nationally and internationally. The potential of AI encompasses computer vision, processing of natural language, deep learning, Learning of Machines, and robotics, is to tackle some of our most pressing healthcare challenges, from cost to inequity in access and the growing burden of chronic disease. The article refers to India as an interesting case, citing the country’s novel platform-first approach to social infrastructure around strong deployments of DPI and broad-based programs (e.g., extant e-sanjeevani and Nikshay). They support the swift adoption and scaling of AI and reveal material benefits, including better data management with multilingual bots, better access to specialist care in rural areas or prediction and early detection of diseases at scale. Even though AI is such a potent force, integrating AI into public healthcare in a country like India comes with many challenges. These include data quality issues, biased outcomes, infrastructural challenges, ethical (privacy, accountability, transparency), to concerns about regulatory compliance, and human-in-the-loop requirements. The long-term viability and financial models of AI solutions are largely unknown as well. The review emphasizes that successful and inclusive AI integration requires a calibrated and preemptive perspective, focused on ensuring the quality and fairness of data, the strength of the infrastructure, and a strong commitment to moral standards. India’s novel, context-specific AI repurposing and national efforts can offer a model for other LMICs to advance digital health transformation and ensure equitable access to health technology.