An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
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.
This track investigates various AI frameworks designed to optimize health systems. It aims to identify best practices and strategies for implementing AI in healthcare settings.
This session addresses the ethical implications of deploying AI in public health. Discussions will focus on privacy, equity, and the responsible use of AI technologies.
This track showcases innovative strategies for integrating AI into existing healthcare frameworks. Participants will share insights on overcoming barriers to AI adoption in public health.
This session emphasizes the importance of data analytics in the formulation of health policies. Researchers will present findings on how data-driven approaches can enhance policy effectiveness.
This track promotes collaborative efforts between academia, industry, and government in advancing AI applications in public health. It aims to foster partnerships that drive innovation and improve health outcomes.