Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 16 — Peace, Justice and Strong Institutions
Explore
All Session Tracks
Track 01
Artificial Intelligence Techniques in Health Sciences
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.
Track 02
Knowledge Management of Medical Data
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.
Track 03
Data Mining and Knowledge Discovery in Medicine
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.
Track 04
Health Care Information Systems
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.
Track 05
Medical Image Processing and Techniques
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.
Track 06
Medical Expert Systems
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.
Track 07
Machine Learning-based Medical Systems
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.
Track 08
Neural Networks in Medicine
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.
Track 09
Social Aspects of AI in 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.
Track 10
Ambient Intelligence in Health Care
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.
Track 11
Diagnoses and Therapy Support Systems
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.