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

18th - 19th December 2026 , Chicago - USA

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Call For Papers

The (ICCIML-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Cardiology are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.