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Test your AI knowledge to determine where to begin on your AI education path.
1. Match the correct name for each diagram
1. Match the correct name for each diagram
Machine Learning
Neural Networks & Deep Learning
Symbolic Systems
Machine Learning
Neural Networks & Deep Learning
Symbolic Systems
Machine Learning
Neural Networks & Deep Learning
Symbolic Systems
Machine Learning
Neural Networks & Deep Learning
Symbolic Systems
2. What annotation type is depicted in this figure?
Polygon
Pixel segmentation
Image label
Bounding bias
Global label
3. What annotation type is depicted in this figure?
Polygon
Pixel segmentation
Image label
Bounding bias
Global label
4. What annotation type is depicted in this figure?
Polygon
Pixel segmentation
Image label
Bounding bias
Global label
5. Identify the type of classification task in this figure:
Segmentation
Detection
Classification
6. Identify the type of classification task in this figure:
Segmentation
Detection
Classification
7. Match each term with its definition
7. Match each term with its definition
F1 Score
Specificity (Selectivity)
Sensitivity (Recall)
Accuracy
Harmonic mean of positive predictive value and sensitivity
F1 Score
Specificity (Selectivity)
Sensitivity (Recall)
Accuracy
Fraction of positive cases predicted as positive
F1 Score
Specificity (Selectivity)
Sensitivity (Recall)
Accuracy
Fraction of negative cases predicted as negative
F1 Score
Specificity (Selectivity)
Sensitivity (Recall)
Accuracy
Fraction of cases accurately predicted
F1 Score
Specificity (Selectivity)
Sensitivity (Recall)
Accuracy
8. From a radiologist’s perspective, which of the factors below should be considered before purchasing an AI product? (Select all that apply)
Conduct an independent evaluation to assess the tool
Understand the expected result of using the tool in clinical practice
Undertake a local evaluation using data from a global population
Check that the vendor used the same dataset for both training and testing
9. Types of data bias include all of the following EXCEPT:
Historical Bias
Aggregation Bias
Representation Bias
Measurement Bias
10. When transferring an AI tool to a new patient population, one should consider (select all that apply):
The quantity of the new population size
Integration and adaptation to the local workflow
Adapting decision thresholds to the local needs
The local institution’s staff size and internal resources
Testing and adapting AI models to a local population
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