Call for Paper

The ICRAID emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Radiology are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

πŸ‘‰ Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

πŸ‘‰ Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.