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This program is not currently available for registration. Click subscribe to be notified when information becomes available.
All information is subject to change.
Large Language Models (LLMs) and Generative Artificial Intelligence (AI) have captured the public imagination and have potential to drive significant change in healthcare. This course, AI for Health Care: Concepts and Applications, aims to unveil the core principles of AI, the capabilities of Large Language Models and Generative AI, and their profound implications for health care.
Under the tutelage of distinguished Harvard faculty, AI for Health Care: Concepts and Applications offers a conduit to transition from traditional health care paradigms to a more data-driven and AI-augmented approach. Adopting a “zero-to-AI” strategy, this course is crafted to equip health care professionals with foundational concepts, fine-tuned for health care applications. The curriculum navigates real-world health care dynamics, exploring AI’s potential to transform the doctor-patient relationship, and establishing a foundation for ethical AI deployment within healthcare.
AI for Health Care: Concepts and Applications contributes to the Business Applications for AI in Health Care Certificate of Specialization, designed for all health care stakeholders, from the doctor’s office to the business suite. To obtain your Certificate, choose two of three online programs created and taught by Harvard Faculty and pioneers of AI in health care to prepare you for the future of an ever-changing health care industry.
For more information, visit our Business Applications for AI in Health Care Certificate of Specialization page.
Immerse yourself in a stimulating learning environment encompassing group discussions, active learning strategies, case studies, and master classes that probe into the genesis of AI, tackle implementation challenges, evaluate viable business models for AI in health care, and forecast the field’s evolution over the next five years. The program further cultivates a conducive networking atmosphere, promoting enduring collaboration among participants, which will act as a robust resource post-program.
Tackling AI Challenges in Health Care:
Introduction to AI: Definitions and Terminology
Foundational Concepts and Current State of the Art
Zero to AI
Masterclass: Emily Melton, AI in Clinical Medicine
Digital Health and AI
AI in the Life Sciences
Masterclass: Tich Changamire, How to Create Artificial Intelligence
When AI Goes Wrong: Algorithmic Bias
Collaborative and Open Data Science
Masterclass: Javier Tordable, AI and Strategy
Business Models for Healthcare AI
Masterclass: Lisa Maki, AI Ethics
AI and Global Health Systems
Regulation
All participants will receive a Certificate of Participation upon completion of the program.
This online program is designed for senior managers and executives who are responsible for developing and implementing AI strategy in their organizations and are looking to understand AI, its current state of the art, and future.
Participants will come from a range of organizational functions including health care delivery, health care technology, primary care systems, payers, and governments. Some titles represented in the program will include: