Hybrid Conferencee

International Conference on Cardiac Imaging and Artificial Intelligence (ICCIAI - 26)

31st - 1st September 2026 | Manila, Philippines
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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 Manila. 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 Manila 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 Manila conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Manila, 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 Manila."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCIAI 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
AI applications in cardiac imaging analysis
02
Machine learning for heart disease prediction
03
Innovations in cardiac imaging technologies
04
Role of automation in cardiac diagnostics
05
Ethical implications of AI in cardiology
06
Real-time imaging solutions for cardiac procedures
07
Impact of AI on patient outcomes in cardiology
08
Integration of AI in clinical decision-making
09
Training AI models with diverse datasets
10
Future trends in AI and cardiac imaging
11
Patient perspectives on AI in healthcare
12
Challenges in implementing AI in cardiology
13
AI for arrhythmia detection and management
14
Telehealth solutions using AI in cardiology
15
Comparative effectiveness of AI vs. traditional methods
16
Interdisciplinary approaches to AI in cardiology
17
Quality assurance in AI-driven imaging practices
18
AI's role in personalized cardiac treatment plans
19
Innovative educational tools for AI in cardiology
20
Community engagement in AI healthcare initiatives