Pre-Course Assessment

Pre Assessment | AI in the Medical Laboratory

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Instructions

This assessment is designed to gauge your current understanding of Artificial Intelligence (AI) and its applications in the medical laboratory. Please answer each question to the best of your ability. This is not a test, and your score will not affect your participation in the course. The purpose of this assessment is to help us understand your baseline knowledge and tailor the course content to your needs.

Part1 : Foundational Concepts

1. Which of the following best describes Machine Learning?(Required)

2. What is the primary difference between supervised and unsupervised learning?(Required)

3. Which of the following is a potential application of AI in the pre-analytical phase of laboratory testing?(Required)

Part2 : Applications in the Laboratory

4. Which of the following is a potential application of AI in the pre-analytical phase of laboratory testing?(Required)

5. Deep Learning is a subfield of Machine Learning that is particularly well-suited for:(Required)

6. How can AI contribute to quality control in the clinical laboratory?(Required)

Part3: Ethical and Practical Considerations

7. What is meant by the term “algorithmic bias” in the context of AI in healthcare?(Required)

8. What is the role of the “human in the loop” in the context of AI in laboratory medicine?(Required)

9. Before implementing a new AI-based test in a clinical laboratory, it is essential to:(Required)

Part4: Self-Assessment

( = No understanding, = Expert understanding)
(Open-ended question)