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

NIH Funding Acknowledgment: Important - All publications resulting from the utilization of SC CTSI resources are required to credit the SC CTSI grant by including the NIH funding acknowledgment and must comply with the NIH Public Access Policy.