International Conference on

AI in Data Science and Deep Learning (ICIADL-26)

28th – 29th Oct 2026 | Birmingham, UK | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on AI in Data Science and Deep Learning 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
Deep learning architectures for healthcare
02
AI in diagnostic imaging and analysis
03
Machine learning for electronic health records
04
Data-driven approaches to disease prevention
05
Ethics of AI in patient care
06
Natural language processing in clinical settings
07
AI applications in chronic disease management
08
Predictive modeling for patient outcomes
09
Real-time data analytics in healthcare
10
AI-enhanced decision support systems
11
Healthcare applications of reinforcement learning
12
Collaborative AI in multidisciplinary teams
13
Impact of AI on healthcare delivery models
14
Machine learning for personalized medicine
15
Data privacy and security in AI systems
16
AI in public health surveillance
17
Future trends in AI and deep learning
18
Machine learning for patient safety initiatives
19
AI applications in mental health care
20
Interoperability challenges in AI systems
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

Quick Links

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