International Conference on

AI and Machine Learning for Big Data Analytics (ICAML-26)

20th – 21st Oct 2026 | Las vegas, USA | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on AI and Machine Learning for Big Data Analytics invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Artificial Intelligence, Data Science, Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics in healthcare
02
Machine learning applications in medicine
03
Predictive modeling for patient outcomes
04
Data privacy and security in healthcare
05
AI-driven decision support systems
06
Natural language processing in healthcare
07
Real-time data analytics in hospitals
08
Challenges in big data integration
09
Ethics of AI in healthcare
10
Machine learning for disease prediction
11
Data visualization techniques in healthcare
12
Impact of AI on healthcare delivery
13
Interoperability of healthcare data systems
14
Patient data management and analytics
15
AI in personalized medicine approaches
16
Healthcare analytics for population health
17
Machine learning in clinical research
18
Data-driven strategies for health improvement
19
AI applications in medical imaging
20
Future trends in big data analytics
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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