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Call For Papers

The ICAML 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:

  • Big data analytics in healthcare
  • Machine learning applications in medicine
  • Predictive modeling for patient outcomes
  • Data privacy and security in healthcare
  • AI-driven decision support systems
  • Natural language processing in healthcare
  • Real-time data analytics in hospitals
  • Challenges in big data integration
  • Ethics of AI in healthcare
  • Machine learning for disease prediction
  • Data visualization techniques in healthcare
  • Impact of AI on healthcare delivery
  • Interoperability of healthcare data systems
  • Patient data management and analytics
  • AI in personalized medicine approaches
  • Healthcare analytics for population health
  • Machine learning in clinical research
  • Data-driven strategies for health improvement
  • AI applications in medical imaging
  • Future trends in big data analytics

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.