International Conference on Artificial Intelligence and Machine Learning for Healthcare - (ICAIMLH-27)


11th - 12th May, 2027 | Durban, South Africa

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

11th April, 2027

Paper Submission Deadline

16th April, 2027

Last Date Of Registration

26th April, 2027

Date Of Conference

11th - 12th May, 2027

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICAIMLH-27) 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, Health, 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 delivery
  • Machine learning for patient diagnosis
  • Predictive analytics in healthcare outcomes
  • Ethical implications of AI in medicine
  • AI-driven personalized treatment plans
  • Natural language processing in healthcare
  • AI for chronic disease management
  • Telemedicine and AI integration
  • Data privacy in healthcare AI
  • AI in medical imaging advancements
  • Patient engagement through AI tools
  • AI for healthcare resource optimization
  • Challenges in implementing AI solutions
  • AI in public health surveillance
  • Training healthcare professionals in AI
  • AI for mental health interventions
  • Future of AI in healthcare systems
  • Collaboration between AI and clinicians
  • AI in healthcare policy development
  • Evaluating AI effectiveness in healthcare

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.

Submit Your Paper Today Register Early & Reserve Your Slot