1. Foundations of AI in Healthcare
● Explore core AI and machine learning concepts tailored to healthcare applications.
● Understand the critical role of healthcare data in AI, including privacy and regulatory
considerations.
2. Clinical Applications of AI
● Dive into AI’s transformative impact on medical imaging, clinical decision support, and
personalized medicine.
● Examine real-world case studies of MDR-approved AI diagnostic tools and their
integration into clinical workflows.
3. AI in Healthcare Operations and Patient Care
● Learn how AI enhances operational efficiency in hospital management and resource
optimization.
● Discover AI-enabled patient care innovations, including remote monitoring and virtual
nursing assistants.
4. Ethical and Regulatory Considerations
● Understand the ethical landscape of AI in healthcare, addressing bias, fairness, and
transparency.
● Insights into the evolving regulatory framework for AI/ML-based medical devices.
5. Implementation and Future Trends
● What should be considered in the planning and management of AI projects in healthcare
settings.
● Explore future directions in healthcare AI.
Key benefits for participants include
● Gaining a comprehensive overview of AI applications across the healthcare spectrum
● Understanding how to leverage AI for improved patient care and operational efficiency
● Learning to navigate the ethical and regulatory landscape of AI in healthcare
● Acquiring skills to evaluate and implement AI solutions in their organizations
● Networking with peers and experts in the field of healthcare AI