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Call for Paper

The ICDLHMI 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 Computational Science,Data Science 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
Deep learning applications in healthcare
02
AI techniques for medical informatics
03
Predictive modeling in healthcare analytics
04
Challenges in healthcare data analysis
05
Ethics of AI in healthcare research
06
Real-world applications of deep learning
07
Data-driven approaches in medical research
08
Case studies of AI in healthcare
09
Future trends in healthcare technology
10
Deep learning for medical imaging
11
Natural language processing in healthcare
12
Collaborative tools for healthcare research
13
Impact of AI on patient care
14
Data privacy concerns in medical research
15
Deep learning for personalized medicine
16
Role of AI in clinical decision-making
17
Visualization techniques for healthcare data
18
Interdisciplinary approaches to medical informatics
19
Deep learning for drug discovery
20
AI in public health research

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.

👉 Register Now

Publication

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

👉 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.