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Call For Papers

The ICADSHI 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 informatics
  • Data analytics for patient outcomes improvement
  • Machine learning for disease prediction
  • Challenges in healthcare data integration
  • AI-driven solutions for medical diagnosis
  • Ethics of AI in healthcare practices
  • Real-time data processing in healthcare systems
  • AI for personalized medicine applications
  • Data visualization for healthcare insights
  • AI applications in telemedicine solutions
  • Future trends in healthcare data science
  • AI for enhancing patient engagement strategies
  • Data privacy concerns in healthcare analytics
  • Machine learning for clinical decision support
  • AI for improving healthcare operational efficiency
  • Collaborative healthcare data sharing initiatives
  • AI applications in drug discovery processes
  • Impact of IoT on healthcare informatics
  • AI for managing healthcare resources effectively
  • Case studies in AI-driven healthcare solutions

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.