AI for Healthcare Applications

This three-day workshop covers AI applications in advanced medical diagnosis, predictive analytics for healthcare outcomes, and personalized medicine. Participants will engage in hands-on sessions and case studies to understand practical implementations and future directions in AI-driven healthcare.

To equip PhD scholars and academicians with advanced skills in leveraging AI for healthcare applications. This course aims to enhance capabilities in medical diagnosis, predictive analytics, and personalized medicine through AI-driven techniques and tools.

Day 1: AI in Advanced Medical Diagnosis

• Lecture Topics:
  • AI techniques for disease detection and classification
  • Case studies in radiology and pathology
• Discussion & Case Studies:
  • Ethical implications and data privacy
  • Practical implementation and validation

Day 2: Predictive Analytics in Healthcare

• Lecture Topics:
  • Advanced predictive models for patient outcomes
  • Applications in hospital management and resource allocation
• Discussion & Case Studies:
  • Real-world examples and case studies
  • Hands-on session with healthcare datasets

Day 3: Personalized Medicine with AI

• Lecture Topics:
  • AI-driven personalized treatment plans and drug discovery
  • Integration of genomics and AI
• Discussion & Case Studies:
  • Case studies in personalized healthcare
  • Practical implementation and future directions

• Develop and implement AI models for advanced medical diagnosis.
• Utilize predictive analytics for patient outcome forecasting.
• Create personalized treatment plans using AI.
• Address ethical and data privacy issues in AI healthcare applications.
• Apply and analyze real-world case studies in AI-driven healthcare.

Medical professionals, data scientists, AI researchers, bioinformaticians, and