International Conference on AI and Machine Learning for Big Data Analytics - (ICAML-27)


16th - 17th April, 2027 | Nagoya, Japan

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

17th March, 2027

Paper Submission Deadline

22nd March, 2027

Last Date Of Registration

1st April, 2027

Date Of Conference

16th - 17th April, 2027

Downloads

Call for Papers

The (ICAML-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence, Data Science, Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.