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Call For Papers

The ICHAML 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 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:

  • Machine learning applications in healthcare
  • Predictive analytics for patient outcomes
  • AI in medical imaging analysis
  • Natural language processing for clinical data
  • Healthcare data privacy and security
  • Machine learning for personalized medicine
  • Telehealth and AI integration
  • Challenges in healthcare machine learning
  • Real-time monitoring with machine learning
  • Clinical decision support systems using ML
  • Ethical considerations in healthcare AI
  • Patient data management with AI
  • Machine learning for drug discovery
  • Wearable technology and machine learning
  • AI in health informatics solutions
  • Impact of machine learning on diagnostics
  • Collaborative healthcare AI projects
  • Future of AI in healthcare delivery
  • Machine learning for public health analysis
  • Integrating machine learning in hospitals

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.