This March, the Duke AI Health Community of Practice hosted the Machine Learning School: Health AI (MLSS-HealthAI), the 13th in the ML School Series since 2017. Machine learning expert Ricardo Henao, PhD, led the three-day program, which featured 10 expert presenters from across Duke. The event brought together 149 participants representing 58 organizations, including 56 students and 22 scholarship recipients (in keeping with its educational mission, the Community of Practice reserved a minimum of 10% of seats for scholarships to support attendance by those who would otherwise be unable to attend).
A major highlight of this year’s event was the hands-on use of the Duke Health AI Studio, which offers a variety of AI platforms for Duke users in a protected environment. With help and expert guidance from Duke Health Technology Solutions (DHTS), participants were able to explore real-world examples, and apply new techniques in an immersive computing environment.
