Regulatory Science Virtual Symposium: “Emerging Technologies in the Medical Device Industry” Session 2: What is Digital/AI/Machine Learning? How is It Used? (2022)

Data Management & Informatics
Regulatory & Quality Sciences

Course Syllabus/Topics

  1. People vs. Systems
    1. Humans have perspectives and opinions
  2. Technology (System Perspective)
  3. Hybrid-Perspective
  4. Artificial Intelligence
  5. Machine Learning
    1. Supervised learning:
      1. Dataset observations are labeled
      2. Algorithms learn to predict output from the input
  6. Semi-supervised learning
    1. Dataset observations are unlabeled
    2. Algorithms learn inherent structure from the input
  7. Unsupervised learning
    1. Some dataset observations are labeled
    2. Most are usually unlabeled.
    3. A mixture of supervised and unsupervised methods are used
  8. Thank You!

Acknowledgment

Accompanying text created by Roxy Terteryan | RKS Project Administrator, SC CTSI  atertery@usc.edu