AFTER

Call For Papers

The ICAIH emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence For Healthcare are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

AI applications in healthcare settings
Machine learning for patient diagnostics
Predictive analytics in healthcare outcomes
Ethical considerations in AI healthcare
AI-driven personalized medicine approaches
Natural language processing in clinical settings
AI for chronic disease management
Telemedicine and AI integration
Data privacy issues in healthcare AI
AI advancements in medical imaging
Patient engagement through AI technologies
AI for optimizing healthcare resources
Challenges in AI implementation in healthcare
AI in public health monitoring
Training healthcare professionals in AI usage
AI applications in mental health care
Future of AI in healthcare systems
Collaboration between AI and healthcare providers
AI in healthcare policy and regulation
Evaluating AI effectiveness in clinical practice

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.