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Hybrid Event

30th - 1st July 2026 | Fukuoka, Japan

International Conference on Radiology and Ai Diagnostics (ICRAID - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICRAID) 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 Radiology, 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 radiology diagnostics
02
Machine learning in medical imaging
03
Ethical considerations of AI in radiology
04
Impact of AI on radiological workflows
05
AI for image analysis and interpretation
06
Patient safety with AI in diagnostics
07
Training radiologists for AI integration
08
Future trends in AI and radiology
09
AI in predictive analytics for radiology
10
Collaboration between AI and radiologists
11
Quality assurance in AI-driven imaging
12
AI for personalized medicine in radiology
13
Telemedicine and AI in radiology
14
Regulatory challenges of AI in healthcare
15
AI in radiology education and training
16
Innovative AI tools for radiological practice
17
AI for enhancing patient outcomes in radiology
18
Comparative studies of AI algorithms
19
AI in emergency radiology applications
20
Challenges in implementing AI in radiology

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.