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Call For Papers

The ICIADSH bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence,Data Science,Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI applications in healthcare data analysis
  • Machine learning for disease prediction
  • AI for personalized medicine and treatment
  • Data science in public health initiatives
  • AI in medical imaging and diagnostics
  • Ethical considerations in healthcare AI
  • AI for patient data management
  • AI in clinical decision support systems
  • Predictive analytics in healthcare outcomes
  • AI for health monitoring and wearables
  • Data privacy in healthcare AI applications
  • AI for improving healthcare accessibility
  • AI in drug discovery and development
  • AI for telemedicine and remote care
  • Machine learning for patient risk assessment
  • AI in healthcare operational efficiency
  • AI for enhancing patient engagement
  • Data interoperability in healthcare AI
  • Future of AI in healthcare innovation
  • AI and data science in epidemiology

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.