Background and Aim <p>Artificial intelligence (AI) is reshaping healthcare and public health by driving innovations in medical research, clinical practice, and disease management. This study provides a comprehensive bibliometric analysis of a decade of research on AI applications in healthcare and public health.</p> Methods <p>A search query was formulated to retrieve relevant publications from the Web of Science Core Collection (WoSCC) database covering the period from 2015 to 2025. Bibliometric analysis and network visualization were performed using Bibliometrix (RStudio) and VOSviewer.</p> Results <p>The analysis revealed substantial scientific growth, with an overall increase of 59% in publications over the last decade. Among 160 contributing countries, the United States, China and India were the most productive. A total of 14,222 institutions and 55,586 authors were identified, reflecting the expanding global research network. Keyword co-occurrence analysis showed emerging trends in integrating AI with the Internet of Things (IoT) and cloud computing to enhance smart healthcare and real-time monitoring while addressing privacy and predictive modeling challenges. Furthermore, AI applications in digital health, telemedicine, and virtual or augmented reality are improving healthcare accessibility. Machine learning, particularly neural networks, is advancing disease diagnostics, while deep learning and computer vision are revolutionizing cancer detection and digital pathology. AI-driven big data analytics and natural language processing have also enhanced public health surveillance during the COVID-19 pandemic.</p> Conclusions <p>The growing body of literature highlights AI’s accelerating role and transformative potential in shaping the future of healthcare and public health.</p>