Harvard Medical School has assembled an exceptional faculty with a unique ability to teach at the interface of AI approaches and real-world contexts and business opportunities, including health care delivery and operations, drug development and company creation. Faculty come from Harvard Medical School and its affiliate hospitals, other schools of Harvard, leading industry organizations and startups.
Program topics will include:
Key technical concepts and potential pitfalls of emerging AI approaches such as deep learning, reinforcement learning, explainable and interpretable AI techniques, causal inference and federated learning
A framework for the AI development pipeline
Bias and inequities in AI
Lessons for real-world implementation and execution
Deep learning for image-based diagnosis: validation and real-world workflows
AI start-ups: setting strategy and building a team
AI for health system operations and process automation
Case studies of AI in the life sciences industry
Setting a data strategy to support AI applications
Organizational structure and competencies to leverage AI
The human-computer interface and integrating into real-world workflows
Regulatory pathways for AI tools
The live virtual program will address these topics through expert interactive presentations, case studies, readings, small group application exercises and vigorous discussions. You'll leave the program ready to apply a strategic framework for applying AI effectively for health care industry applications.
You'll be joined by participants from diverse segments of health care. This will strengthen your understanding of the various viewpoints of other industry stakeholders as you build your peer network.
Better health care through AI? Ambitious but achievable
Isaac S. Kohane, MD, PhD, discusses promising uses and the path forward for artificial intelligence (AI) in health care.