10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

7th - 8th July 2026 | Riyadh, Saudi Arabia

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCIAI) 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:

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.