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 focuses on the latest advancements in artificial intelligence methodologies specifically tailored for health sciences. Contributions will explore innovative AI techniques that enhance diagnosis, treatment, and patient care.
This session addresses the challenges and solutions related to managing vast amounts of medical data. It will highlight strategies for effective knowledge extraction, sharing, and application in clinical settings.
This track emphasizes the role of data mining in uncovering hidden patterns and insights within medical datasets. Researchers are invited to present novel approaches that facilitate knowledge discovery in healthcare.
This session explores the integration of artificial intelligence in health care information systems. Discussions will focus on improving system efficiency, data interoperability, and patient outcomes through AI technologies.
This track is dedicated to advancements in medical image processing facilitated by artificial intelligence. Presentations will cover innovative techniques that enhance image analysis, interpretation, and diagnostic accuracy.
This session will delve into the development and application of medical expert systems powered by AI. Contributions will discuss how these systems can support clinical decision-making and improve patient care.
This track focuses on the application of machine learning algorithms in medical systems. Researchers will present their findings on how these technologies can optimize diagnostics, treatment planning, and patient monitoring.
This session highlights the utilization of neural networks in various medical applications. Contributions will explore their effectiveness in tasks such as disease prediction, image classification, and personalized medicine.
This track examines the ethical, social, and cultural implications of integrating AI into medical practice. Discussions will focus on patient privacy, consent, and the societal impact of AI-driven healthcare solutions.
This session explores the concept of ambient intelligence and its applications in health care settings. Presentations will discuss how pervasive computing technologies can enhance patient monitoring and care delivery.
This track focuses on the development of AI-driven systems that assist in diagnosis and therapeutic decision-making. Contributions will highlight innovative solutions that enhance clinical workflows and patient outcomes.