Hybrid Conference (In Person / Virtual)

International Conference on AI and Machine Learning for Big Data Analytics (ICAML - 27)
24th - 25th June 2027 , Salzburg, Austria
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Salzburg. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Salzburg conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Salzburg and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICAML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Artificial Intelligence, Data Science, Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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