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Call For Papers

The ICBRAAI bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Radiology, Artificial Intelligence, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI applications in breast radiology
  • Machine learning for tumor detection
  • Automated imaging analysis techniques
  • AI in mammography interpretation
  • Ethics of AI in healthcare
  • Deep learning for breast cancer diagnosis
  • Radiological data management with AI
  • AI-driven personalized treatment plans
  • Impact of AI on radiologist workflow
  • Integration of AI in clinical practice
  • AI for predicting treatment outcomes
  • Challenges in AI implementation
  • AI and patient data privacy concerns
  • Future of AI in breast imaging
  • AI tools for radiology education
  • Collaborative AI-human diagnostic approaches
  • Validation of AI algorithms in radiology
  • AI in breast cancer screening programs
  • Real-world applications of AI technologies
  • AI-enhanced imaging technologies

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.