International Conference on

Cardiac Imaging and Machine Learning (ICCIML-26)

21st – 22nd Sep 2026 | Chicago, USA | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Cardiac Imaging and Machine 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 Cardiology 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
Machine learning applications in cardiac imaging
02
AI algorithms for heart disease diagnosis
03
Advancements in echocardiography techniques
04
3D imaging technologies in cardiology
05
Integration of AI in cardiac care pathways
06
Predictive analytics for cardiac events
07
Challenges in cardiac imaging data interpretation
08
Real-time imaging for cardiac procedures
09
Ethics of AI in cardiac diagnostics
10
Role of imaging in personalized cardiac treatment
11
Innovations in MRI for heart disease
12
Impact of imaging on patient outcomes
13
Machine learning for arrhythmia detection
14
Telehealth and cardiac imaging solutions
15
Comparative effectiveness of imaging modalities
16
Training AI models with diverse datasets
17
Future trends in cardiac imaging technology
18
Interdisciplinary approaches in cardiac imaging
19
Patient-centered imaging protocols
20
Quality assurance in cardiac imaging practices
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

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