Understand key principles, technical aspects and potential pitfalls of deep learning and emerging AI approaches
Appraise which problems are best suited for an AI solution and how AI adds value, drawing from established examples
Understand important concepts about operational aspects and real-world AI implementation, such as data infrastructure and quality, annotation, workflow integration, human/computer interface
Assess organizational needs, capabilities and structure to leverage AI in a variety of contexts (from large organizations to start-ups)
Anticipate and address bias in AI
Engage with your network of faculty and participants from this program as sources of knowledge, feedback and support
Applications of artificial intelligence in health care are expanding rapidly. Despite its great long-term potential, risks and challenges remain for both AI developers and their partners in health care, the life sciences industry and digital health.
This program will allow leaders across the ecosystem to gain insights into what it takes to successfully utilize AI in the unique cultural, economic and regulatory context of health care. Interactive sessions will address technical concepts as well as real-world implementation, with examples drawn from health care delivery/operations and drug development.
The curriculum will feature a combination of live virtual class sessions, small group application exercises, pre-work and vigorous discussions. Upon completion of the program, participants will be able to immediately apply insights gained to the fast-moving and complex health care sector. A certificate of completion will be provided.
