International Conference on AI and Machine Learning for Big Data Analytics ICAML

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

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

Registration

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

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Publication

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

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Hybrid Event