Introduction to AI
• Basics of AI and Machine Learning
• Why AI in healthcare?
AI in Healthcare: Use Cases
• AI in Diagnostics (e.g., radiology, pathology)
• AI in Personalized Medicine
• AI in Drug Discovery
• AI in Medical Imaging
Hands-on Session: AI in Action
• Introduction to Python and AI libraries
• Building a AI model for disease prediction
• Interpreting the results and discussing implications
Future of AI in Healthcare
• Emerging trends (e.g., AI in telemedicine, robotics)
• AI's role in global healthcare challenges
• Career opportunities in AI healthcare
**NOTE: LAPTOP IS MANDATORY, SINCE HANDS-ON SESSIONS NEEDS PROGRAMMING