Transforming Healthcare Education through Artificial Intelligence

The integration of artificial intelligence (AI) in public health education presents both transformative  opportunities and complex challenges. AI enhances learning through personalised instruction, virtual  simulations, supports decision-making, and improves large-scale data-based analytics. These  innovations can enhance knowledge acquisition, clinical reasoning, and skill acquisition. The revolution  of AI in public health supports public health surveillance and epidemiological research. However, the  use of AI also faces significant barriers. Complex challenges include limited integration into curricula,  inadequate faculty training, limited digital infrastructure, ethical issues related to data privacy, and  unclear policies. These barriers have the potential to hinder the safe and effective use of AI in healthcare  education, although most current research remains exploratory in nature. There is widespread agreement  that AI should complement, not replace, educators or clinical assessors. Therefore, balanced and  evidence-based integration of AI is crucial. This approach will ensure the development of healthcare  professionals who are not only technically competent but also adaptive, reflective, and prepared to  navigate the dynamics of future healthcare delivery. Artificial intelligence (AI) is reshaping healthcare  and public health education, underscoring the importance of AI literacy, an innovative mindset, and digital competency. Studies show that there are limited AI education programs, inadequate preparedness  among public health experts, and policy or ethical barriers, underscoring the importance of a balanced,  evidence-based integration for adequate delivery by public health institutions.