2nd quarter, 3 quarter credits *online (1.5 semester credits)
Pre-requisites: ME 250.770 Clinical Data Analysis with Python; ME 250.953 Introduction to Biomedical Informatics (Note: Pre-requisites may be waived if a student receives permission from the instructor.)
This course is designed to bridge the gap between engineering and medicine by exploring the application of generative artificial intelligence (AI) technologies in healthcare settings. Through a combination of lectures, case studies, and hands-on projects, students will gain a comprehensive understanding of how generative AI can be leveraged to solve complex health-related problems, while also navigating the ethical, legal, and social implications of these technologies. The course will cover a range of topics, including but not limited to, the fundamentals of generative AI, its current and potential applications in healthcare, data privacy and security, ethical considerations in AI deployment, regulatory frameworks, and the impact of AI on patient care and healthcare systems. JHU students, faculty, and staff not matriculated in our formal degree or certificate programs must seek the instructor’s permission.