International Conference on AI-driven Data Science in Healthcare ICIADSH

Call For Papers

The ICIADSH 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 Artificial Intelligence, Data Science, Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

AI applications in healthcare data analysis

Machine learning for disease prediction

AI for personalized medicine and treatment

Data science in public health initiatives

AI in medical imaging and diagnostics

Ethical considerations in healthcare AI

AI for patient data management

AI in clinical decision support systems

Predictive analytics in healthcare outcomes

AI for health monitoring and wearables

Data privacy in healthcare AI applications

AI for improving healthcare accessibility

AI in drug discovery and development

AI for telemedicine and remote care

Machine learning for patient risk assessment

AI in healthcare operational efficiency

AI for enhancing patient engagement

Data interoperability in healthcare AI

Future of AI in healthcare innovation

AI and data science in epidemiology

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.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event