International Conference on AI and Data Science for Healthcare Informatics - (ICADSHI-26)


27th - 28th November, 2026 | Glasgow, UK

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

28th October, 2026

Paper Submission Deadline

2nd November, 2026

Last Date Of Registration

12th November, 2026

Date Of Conference

27th - 28th November, 2026

Downloads

Call for Papers

The (ICADSHI-26) 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:

  • AI applications in healthcare informatics
  • Data analytics for patient outcomes improvement
  • Machine learning for disease prediction
  • Challenges in healthcare data integration
  • AI-driven solutions for medical diagnosis
  • Ethics of AI in healthcare practices
  • Real-time data processing in healthcare systems
  • AI for personalized medicine applications
  • Data visualization for healthcare insights
  • AI applications in telemedicine solutions
  • Future trends in healthcare data science
  • AI for enhancing patient engagement strategies
  • Data privacy concerns in healthcare analytics
  • Machine learning for clinical decision support
  • AI for improving healthcare operational efficiency
  • Collaborative healthcare data sharing initiatives
  • AI applications in drug discovery processes
  • Impact of IoT on healthcare informatics
  • AI for managing healthcare resources effectively
  • Case studies in AI-driven healthcare solutions

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.