Chairperson:

• Dino Samartzis, Rush University Medical Center, Chicago, USA
• Daniel Sciubba, Johns Hopkins University, Baltimore, USA

Presenters:

• Dino Samartzis, Rush University Medical Center, Chicago, USA
• Daniel Sciubba, Johns Hopkins University, Baltimore, USA
• Fabio Galbusera IRCCS Galeazzi Orthopedic Institute, Milan, Italy
• Morgan Giers, Oregon State University, Oregon, USA
• Christopher Ames, University of California, San Francisco, USA
• Joseph Schwab, Massachusetts General Hospital, Boston, USA

Description: 

This webinar will provide an understanding of the concepts of artificial intelligence and machine learning, and their current applications and future direction in the management and predictive modelling of spine patients. 

The spine field is entering the age of "intelligence-based spine care" where the use of artificial intelligence and the multiple dimensions of machine learning are taking center-stage. As such, it is important for the clinician and researchers alike to become familiar with such technology and its applications. 

More Info: 

Target audience: Spine researchers, spine practitioner; orthopedics, neuro- and spine surgeons, therapists,