International Conference on

Breast Radiology and Artificial Intelligence (ICBRAAI-27)

20th – 21st Apr 2027 | Shanghai, China | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Breast Radiology and Artificial Intelligence invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Radiology, Artificial Intelligence encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
AI applications in breast radiology
02
Machine learning for tumor detection
03
Automated imaging analysis techniques
04
AI in mammography interpretation
05
Ethics of AI in healthcare
06
Deep learning for breast cancer diagnosis
07
Radiological data management with AI
08
AI-driven personalized treatment plans
09
Impact of AI on radiologist workflow
10
Integration of AI in clinical practice
11
AI for predicting treatment outcomes
12
Challenges in AI implementation
13
AI and patient data privacy concerns
14
Future of AI in breast imaging
15
AI tools for radiology education
16
Collaborative AI-human diagnostic approaches
17
Validation of AI algorithms in radiology
18
AI in breast cancer screening programs
19
Real-world applications of AI technologies
20
AI-enhanced imaging technologies
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

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

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