Artificial Intelligence (AI) Foundation and Practical Application
Description: This session will present a historical perspective of AI including the fundamentals of artificial neural networks, data requirements for AI/Ml applications and point out strengths and weaknesses of the application. Additionally, the session will address AI application development process, the necessary skills sets needed and common methods used in medicine. Recent advances in the field will be discussed showing practical examples of AI application followed by an interactive discussion with the audience.
Moderator: Mark Neumann, BS
2:00 Historical Perspective and Fundamentals of Artificial Intelligence (AI) – Peter Kotanko, MD
2:35 AI Application Development Process – Hanjie ZHANG, PhD
3:10 Large Language Model (LLM) and Recent Advances – Roxanne (LinChun) Wang, MSc