Artificial Intelligence (AI) is reshaping societies by transforming the ways people learn, teach, work, and receive healthcare. Recent advances in machine learning, generative AI, natural language processing, computer vision, and intelligent decision-support systems have created unprecedented opportunities to improve educational outcomes and healthcare services.
AI-powered technologies are enabling personalized learning experiences, intelligent tutoring systems, learning analytics, predictive diagnostics, precision medicine, clinical decision support, and telehealth solutions. At the same time, their adoption raises major scientific, technical, ethical, legal, and societal challenges involving privacy, fairness, explainability, trustworthiness, cybersecurity, governance, and human-centered AI.
AIEH’2026 seeks to foster knowledge exchange, interdisciplinary collaboration, and the development of responsible AI solutions that contribute to sustainable, inclusive, and high-quality education and healthcare systems.
Important Dates
Submission: october 1 2026
Acceptance Notification: November 1, 2026
Camera-Ready Paper Due: November 7, 2026
Early Bird Registration: November 16, 2026
Conference Days: December 14-16, 2026
Topics of Interest
- Machine Learning and Deep Learning
- Generative Artificial Intelligence (GenAI)
- Large Language Models (LLMs)
- Natural Language Processing
- Computer Vision
- Knowledge Representation and Reasoning
- Explainable, Interpretable, and Trustworthy AI
- Responsible and Ethical AI
- Intelligent Tutoring Systems
- Adaptive and Personalized Learning
- Learning Analytics and Educational Data Mining
- AI-assisted Assessment and Feedback
- AI for Teacher Professional Development
- Curriculum Design and Educational Innovation
- Virtual Learning Environments and Smart Classrooms
- AI-supported Educational Decision-Making
- Educational Chatbots and Virtual Assistants
- AI for STEM Education
- AI Literacy and Digital Competencies
- Academic Integrity in the Age of Generative AI
- Clinical Decision Support Systems
- Medical Image Analysis
- AI-assisted Diagnosis and Prognosis
- Precision and Personalized Medicine
- Digital Health and Telemedicine
- Healthcare Data Analytics
- Predictive Models for Disease Prevention
- AI in Public Health
- Wearable Devices and Remote Patient Monitoring
- AI-powered Healthcare Robotics
- Healthcare Knowledge Graphs and Clinical NLP
- Data Privacy and Security
- Cybersecurity for AI Systems
- AI Governance and Regulatory Frameworks
- Bias, Fairness, and Transparency
- Human-AI Collaboration
- Interoperability and Standards
- Sustainable AI Solutions
- AI for the Sustainable Development Goals (SDGs)
- Societal Impact of AI in Education and Healthcare
- AI Deployment in Educational Institutions
- AI Adoption in Hospitals and Healthcare Systems
- Smart Campus and Smart Hospital Solutions
- Real-world AI Success Stories
- Public Policies for AI in Education and Healthcare
- Industry-Academia Partnerships
- Emerging Trends and Future Perspectives
Submission Guidelines
Authors are invited to submit papers of original material that isn't currently under review in any other conference or journal. Submissions should be written in English with a maximum paper length of 7 printed pages, standard IEEE 2-column format.
Standard IEEE Transactions templates for Microsoft Word format can be found at: Click here.
Or LaTeX format can be found at: Click here.
Paper submission should be processed via the EDAS platform, via the link: https://edas.info/newPaper.php?c=35170&track=137256.
All submitted papers will be reviewed by experts in the fields based on the criteria of originality, significance, quality, and clarity.
Accepted and presented papers will be submitted for inclusion in IEEE Xplore. They will also be submitted to SCOPUS, ISI, DBLP, and other leading indexing services. Papers of particular merit may be recommended for a special issue in an international journal. Best Paper awards and prizes will be given too.