Hybrid Conferencee

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

31st - 1st August 2026 | Copenhagen, Denmark
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Copenhagen. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Copenhagen event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Copenhagen conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Copenhagen, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Copenhagen."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCIML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Cardiology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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