International Conference on Cardiac Imaging and Machine Learning - (ICCIML-26)


16th - 17th October, 2026 | Austin, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

16th September, 2026

Paper Submission Deadline

21st September, 2026

Last Date Of Registration

1st October, 2026

Date Of Conference

16th - 17th October, 2026

Downloads

Call for Papers

The (ICCIML-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 Cardiology, 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:

  • Machine learning applications in cardiac imaging
  • AI algorithms for heart disease diagnosis
  • Advancements in echocardiography techniques
  • 3D imaging technologies in cardiology
  • Integration of AI in cardiac care pathways
  • Predictive analytics for cardiac events
  • Challenges in cardiac imaging data interpretation
  • Real-time imaging for cardiac procedures
  • Ethics of AI in cardiac diagnostics
  • Role of imaging in personalized cardiac treatment
  • Innovations in MRI for heart disease
  • Impact of imaging on patient outcomes
  • Machine learning for arrhythmia detection
  • Telehealth and cardiac imaging solutions
  • Comparative effectiveness of imaging modalities
  • Training AI models with diverse datasets
  • Future trends in cardiac imaging technology
  • Interdisciplinary approaches in cardiac imaging
  • Patient-centered imaging protocols
  • Quality assurance in cardiac imaging practices

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.