Program Details

The Artificial Intelligence Revolution in Medicine: Technology, Risks, Applications and Implications

Instructor
Oge Marques
ESPL03303
Video Catch-up
Available

Course Description

The field of artificial intelligence (AI) has experienced a revival in recent years.  Advancements in software and hardware and the emergence of a set of techniques collectively known as deep learning, which have enabled better-than-human performance in many challenging tasks, including visual object recognition and speech understanding, have made that revival possible. One of the most fertile fields for AI applications is healthcare, where hundreds of companies, from startups to technology behemoths, are working on AI-powered solutions to multiple problems. Drug discovery, in-patient care and hospital management, patient data and risk analytics, lifestyle management and monitoring (using wearable devices), mental health, nutrition, and medical imaging and diagnostics have all benefitted from AI. This program will provide an introduction to fundamental aspects of the current state of AI in medicine to a non-technical audience. It will include a large number of examples of applications of AI in medicine that will broaden your view of the field and allow a better understanding of its foundations, risks, applications, and implications.

About the Instructor

  • Oge Marques, Ph.D. is a professor of computer science and engineering at Florida Atlantic University. He is a world-renowned expert in the fields of image processing, computer vision, human vision, artificial intelligence (AI), and machine learning. His current research focuses on applying AI to healthcare. He is the author of 11 technical books, one patent, and more than 150 scientific articles in his fields of expertise. Marques is a Sigma Xi Distinguished Lecturer and a fellow of the AAAS Leshner Leadership Institute. He has won several awards, including the Engineers’ Council John J. Guarrera Engineering Educator of the Year Award, (2019) and the FAU Excellence and Innovation in Undergraduate Teaching Award, (2018, 2011, 2004).