Call For Papers

The ICDLHMI 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 Computational Science, Data Science , encouraging applied research, case studies, and industry-driven innovations.

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

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



Global Universities Whose Academicians Have Participated



Indexing Support



Our Associates