Hybrid Conference (In Person / Virtual)

International Conference on AI and Data Science for Healthcare Informatics (ICADSHI - 27)
24th - 25th June 2027 , Crete, Greece
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Call For Papers

The ICADSHI provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Artificial Intelligence, Data Science, Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

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

01
AI applications in healthcare informatics
02
Data analytics for patient outcomes improvement
03
Machine learning for disease prediction
04
Challenges in healthcare data integration
05
AI-driven solutions for medical diagnosis
06
Ethics of AI in healthcare practices
07
Real-time data processing in healthcare systems
08
AI for personalized medicine applications
09
Data visualization for healthcare insights
10
AI applications in telemedicine solutions
11
Future trends in healthcare data science
12
AI for enhancing patient engagement strategies
13
Data privacy concerns in healthcare analytics
14
Machine learning for clinical decision support
15
AI for improving healthcare operational efficiency
16
Collaborative healthcare data sharing initiatives
17
AI applications in drug discovery processes
18
Impact of IoT on healthcare informatics
19
AI for managing healthcare resources effectively
20
Case studies in AI-driven healthcare solutions

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.