International Conference on AI and Data Science for Healthcare Informatics ICADSHI

Call For Papers

The ICADSHI 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 informatics

Data analytics for patient outcomes improvement

Machine learning for disease prediction

Challenges in healthcare data integration

AI-driven solutions for medical diagnosis

Ethics of AI in healthcare practices

Real-time data processing in healthcare systems

AI for personalized medicine applications

Data visualization for healthcare insights

AI applications in telemedicine solutions

Future trends in healthcare data science

AI for enhancing patient engagement strategies

Data privacy concerns in healthcare analytics

Machine learning for clinical decision support

AI for improving healthcare operational efficiency

Collaborative healthcare data sharing initiatives

AI applications in drug discovery processes

Impact of IoT on healthcare informatics

AI for managing healthcare resources effectively

Case studies in AI-driven healthcare solutions

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