International Conference on Public Health and Policy with Artificial Intelligence (ICPHPAI - 27)

This track explores the integration of artificial intelligence in shaping effective public health policies. It aims to highlight innovative AI applications that enhance decision-making processes in health governance.

This session focuses on the application of machine learning algorithms in analyzing health data. Participants will discuss methodologies that improve predictive analytics in public health.

This track examines the role of intelligent systems in health informatics. It will cover advancements in AI frameworks that facilitate data management and patient care.

This session delves into the use of deep learning techniques in various healthcare applications. Researchers will present case studies demonstrating the effectiveness of deep learning in diagnostics and treatment.

This track addresses the impact of automation on public health operations and service delivery. Discussions will focus on how AI technologies streamline processes and improve efficiency.

This session highlights the role of predictive analytics in preventing disease outbreaks. Participants will explore AI models that forecast health trends and inform policy interventions.