Faculty and Associate Professor Division of Oral and Maxillofacial Surgery at The Ohio State University College of Dentistry Columbus, Ohio
Synopsis : Artificial intelligence is rapidly revolutionizing healthcare with the capability to improve patient care, support treatment decisions, and enhance surgical training. AI’s role in healthcare and surgical education is set to grow significantly.
The target audience is a surgeon with a novice level of AI, reviewing basic concepts such as single versus multimodal applications, machine learning versus deep learning, and an introduction to sophisticated topics including generative and ambient AI. In addition, the format will demonstrate how to apply basic technologies designed to reduce repetitive clerical work, known to decrease physician burnout.
Lastly, the lecture will provide a glimpse of future trends in surgical education and discuss the ethical responsibilities associated with applying AI in healthcare.
Learning Objectives:
At the conclusion of this presentation, participants should be able to:
Following the conclusion of this lecture, the learner will be able to differentiate the various applications of artificial intelligence in healthcare and surgical education.
Following the conclusion of this lecture, the learner will understand how to utilize low-risk AI technology to improve efficiency of repetitive work tasks.
Following the conclusion of this lecture, the learner will recognize future risks such as breaches of patient privacy, lack of medicolegal guidelines, and corporate greed.
