AI in Health Care: Foundations, Applications, and Ethical Challenges (Webinar)

About Course

Learning Objectives By the end of this webinar, participants will be able to:

Define key AI concepts, including machine learning, deep learning, neural networks, and large language models.
Describe the historical development of AI and its evolution into current health-care applications.
Examine challenges associated with implementing AI in health care, including technical, organizational, and ethical factors.
Propose potential strategies for responsible integration of AI into clinical or public-health workflows.

1) Define key AI concepts, including machine learning, deep learning, neural networks, and large language models.
2) Describe the historical development of AI and its evolution into current health-care applications.
3) Examine challenges associated with implementing AI in health care, including technical, organizational, and ethical factors.
4) Propose potential strategies for responsible integration of AI into clinical or public-health workflows.