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Duration 21 hours
Course Outline
Introduction to Generative AI
- Grasping the fundamentals of AI and machine learning
- An in-depth exploration of generative models
- Overview of the current generative AI landscape in healthcare
Generative AI in Drug Discovery
- Accelerating drug design processes through AI
- Case studies: Examining successes and challenges
- Virtual screening and predictive modeling
Personalized Medicine through Generative AI
- Customizing treatments using AI insights
- Genomics and AI: Entering a new era of personalization
- Ethical considerations in AI-driven personalized medicine
Advancements in Medical Imaging
- Enhancing diagnostic capabilities with generative AI
- 3D medical imaging and AI reconstruction methods
- Optimizing patient outcomes via AI-assisted imaging
Real-World Applications and Future Directions
- Integrating generative AI into clinical workflows
- The future trajectory of AI in patient care and management
- Capstone project: Proposing an AI-driven solution to a healthcare challenge
Ethical and Societal Implications
- Navigating the ethical complexities of AI in healthcare
- Data privacy, security, and governance frameworks
- Preparing for the future: Policy and regulatory considerations
Conclusion and Next Steps
Requirements
- A foundational grasp of machine learning concepts
- Proficiency in Python programming
- Introductory knowledge of biological principles and healthcare frameworks
Target Audience
- Healthcare practitioners
- Data analysts
- Policy makers
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt