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Track 9: Artificial Intelligence, Machine Learning & Data-Driven Healthcare

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Track 1: Preventive Medicine, Lifestyle Health and Early Disease Prevention
Track 2: Public Health Innovation and Population Health Management
Track 3: Epidemiology, Surveillance and Global Health Security
Track 4: Health Promotion, Community Health and Health Literacy
Track 5: Vaccines, Immunization and Preventive Public Health Strategies
Track 6: Climate Change, Environmental Health and Planetary Health
Track 7: Advanced Nursing Practice and Patient Safety Excellence
Track 08: Patient Experience, Safety Culture and Value-Based Care
Track 9: Artificial Intelligence, Machine Learning & Data-Driven Healthcare
Track 10: Healthcare Cybersecurity, Data Privacy and Digital Trust
Track 11: Maternal, Infant, Child and Women’s Public Health
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Track 9: Artificial Intelligence, Machine Learning & Data-Driven Healthcare

This track explores the transformative role of artificial intelligence, machine learning, and advanced data analytics in modern healthcare. It focuses on improving clinical decision-making, operational efficiency, and patient outcomes through data-driven innovation.

Key Focus Areas

  • Artificial intelligence and machine learning in healthcare
  • Data-driven clinical decision support
  • Predictive analytics and precision medicine
  • Healthcare data management and interoperability
  • Ethical and responsible AI in healthcare


Importance
AI and data-driven healthcare enhance accuracy, efficiency, and personalization of care while supporting evidence-based decision-making and system sustainability.

Conclusion
Integrating AI, machine learning, and data analytics enables smarter, safer, and more efficient healthcare systems for the future.

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