Episode 4 – Leveraging Distributed Data for Better Healthcare Outcomes with Leigh McCormack of Platypus Health

Introduction to Leigh McCormack: Background in data science and career trajectory, including entrepreneurial ventures focused on health equity.
The Role of AI in Healthcare: Potential benefits, limitations, and the importance of understanding AI’s context in clinical settings.
Health Equity in AI: The need for diverse data to create equitable healthcare solutions and the challenges of overcoming biases in AI models.
Ensemble Modeling and Federated Learning: How combining multiple models and collaborating across organizations can improve AI outcomes.
Importance of Clinical Context: Ensuring data scientists work closely with healthcare practitioners to build relevant and effective AI tools.
Real-World Examples and Case Studies: Discussion on specific instances where AI and data science have been applied in healthcare settings, highlighting successes and lessons learned.
Future of AI in Healthcare: Vision for how AI can continue to evolve to better serve diverse patient populations and improve overall healthcare delivery.