Call For Papers
The ICDLHMI aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Computational Science, Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Deep learning applications in healthcare
- AI techniques for medical informatics
- Predictive modeling in healthcare analytics
- Challenges in healthcare data analysis
- Ethics of AI in healthcare research
- Real-world applications of deep learning
- Data-driven approaches in medical research
- Case studies of AI in healthcare
- Future trends in healthcare technology
- Deep learning for medical imaging
- Natural language processing in healthcare
- Collaborative tools for healthcare research
- Impact of AI on patient care
- Data privacy concerns in medical research
- Deep learning for personalized medicine
- Role of AI in clinical decision-making
- Visualization techniques for healthcare data
- Interdisciplinary approaches to medical informatics
- Deep learning for drug discovery
- AI in public health research
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.