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Hybrid Event

31st - 1st August 2026 | Manila, Philippines

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCIML) 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
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

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.

Submit Your Paper Today Register Early
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.